{"id":"W3158254845","doi":"10.2196/26564","title":"Tetrahydrocannabinol and Skin Cancer: Analysis of YouTube Videos","year":2021,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Reliability (semiconductor); Quality (philosophy); Medicine; Cancer; Cannabis; Internet privacy; Psychology; Computer science; Psychiatry; World Wide Web; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007228712,0.0002627799,0.0001989102,0.005635177,0.0003456916,0.0005493543,0.0001941067,0.00029384,0.001472726],"category_scores_gemma":[0.007806155,0.00007472321,0.0002446483,0.003796271,0.0001613592,0.0006287864,0.0006023765,0.0002262011,0.0003146806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006563857,"about_ca_system_score_gemma":0.0004139385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161089,"about_ca_topic_score_gemma":0.03860526,"domain_scores_codex":[0.9993381,0.0001799999,0.00008929365,0.00007054122,0.0002414868,0.0000804723],"domain_scores_gemma":[0.9946731,0.002619367,0.001304313,0.00009517475,0.001101118,0.0002070219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006282269,0.0001541273,0.8327074,0.002566054,0.0002209863,0.002298044,0.009208632,0.0005579626,0.003757948,0.0004364445,0.02070448,0.1267596],"study_design_scores_gemma":[0.00001029848,0.00009259503,0.9733036,0.0004748069,0.00007942788,0.001027067,0.009831338,0.00376061,0.0008794376,0.0001362823,0.0103767,0.00002775994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774575,0.001863179,0.0005229932,0.0004668753,0.00005278733,0.0002634729,0.01502704,0.00005835968,0.004287742],"genre_scores_gemma":[0.977281,0.002266394,0.002436616,0.0001357885,0.00008023727,0.0002876972,0.01510238,0.0000281672,0.00238166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02161089,"threshold_uncertainty_score":0.04297018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299584862028997,"score_gpt":0.3305007518806612,"score_spread":0.3175049032603713,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}