Lab-style and primary references
Cannabinoid ranges, terpene names, and identity fields are strongest when multiple public references agree or a profile carries field-level source evidence.
DeePuff treats strain records like living evidence, not static trivia: every profile can carry confidence, freshness, estimates, source conflicts, and correction signals.
Cannabinoid ranges, terpene names, and identity fields are strongest when multiple public references agree or a profile carries field-level source evidence.
Breeder names, lineage, flowering windows, and grow traits are checked for junk patterns, site-name contamination, fake vendor names, and impossible parentage.
Effects, flavors, and medical-use tags are treated as user-reported discovery clues. They help ranking and matching but are never framed as guaranteed outcomes.
Multiple signals agree or a field has stronger reference support.
AI-assisted or inferred field. Useful, but clearly marked as directional.
Sources conflict or junk patterns were detected; admin review is needed.
Shows whether the record was recently checked or needs another pass.
Cannabinoid and terpene values vary by genetics, grow environment, harvest, processing, storage, and lab method.
Terpene effect language should be treated as research-informed association, not guaranteed clinical outcome.
Medical claims require caution; user-reported relief is not a substitute for clinician guidance.
Temperature, humidity, airflow, VPD, genetics, and cultural practice materially change crop expression.
The fastest way to improve a profile is a sourced correction. DeePuff keeps uncertainty visible while records are checked, then pushes stronger data into strain pages, comparison pages, effect hubs, and AI-readable summaries.