{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006185431,0.0001297007,0.0006970622,0.0004474706,0.00004852804,0.00001245555,0.00007371059,0.0001572512,0.0006886268],"category_scores_gemma":[0.00006824948,0.0001142135,0.0002040254,0.001243547,0.0002140979,0.00004239929,0.00009136094,0.0002053456,0.000005656685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004314559,"about_ca_system_score_gemma":0.000353309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002784725,"about_ca_topic_score_gemma":0.0004496008,"domain_scores_codex":[0.9986867,0.0000752847,0.0003311294,0.0003290243,0.0002540142,0.0003238593],"domain_scores_gemma":[0.999046,0.00001721217,0.00007354878,0.0003640612,0.000308781,0.0001903766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003246514,0.0006648293,0.7724984,0.001213659,0.004479602,0.00211343,0.001846398,0.000033743,0.04245309,0.002082454,0.1341373,0.03815247],"study_design_scores_gemma":[0.0020491,0.0001247493,0.7566061,0.00006138341,0.001760193,0.001706849,0.0007415676,0.002589243,0.07062728,0.00007623796,0.1633938,0.0002634721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717366,0.003585052,0.00003051198,0.02259703,0.00006227967,0.0002285737,0.0000447634,0.00002599333,0.001689216],"genre_scores_gemma":[0.9938863,0.0004863375,0.00005360311,0.0008354934,0.00003812513,0.0001318354,0.00005344083,0.00001603888,0.004498821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.037889,"threshold_uncertainty_score":0.7539981,"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."}}