{"id":"W1970693454","doi":"10.2196/cancer.4204","title":"YouTube Videos Related to Skin Cancer: A Missed Opportunity for Cancer Prevention and Control","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Cancer prevention; Medicine; Control (management); Computer science; Internal medicine; Artificial intelligence","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":[0.00107717,0.0001370117,0.0001854659,0.0008770892,0.0007114239,0.001202797,0.00030656,0.0003471861,0.0134582],"category_scores_gemma":[0.01173708,0.00009247509,0.0001313588,0.0007082243,0.0003139467,0.001723408,0.000894905,0.0004227428,0.0006581794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009174782,"about_ca_system_score_gemma":0.0011115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410794,"about_ca_topic_score_gemma":0.02553982,"domain_scores_codex":[0.9993508,0.0002924289,0.00003452768,0.00004533815,0.0001683076,0.0001084967],"domain_scores_gemma":[0.9945264,0.002939518,0.0009878174,0.0001094115,0.000722818,0.0007138954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004865535,0.0002781085,0.2886854,0.003286986,0.00008381582,0.001439341,0.0149799,0.0002342909,0.002479193,0.00422643,0.1209691,0.5628508],"study_design_scores_gemma":[0.00007384744,0.0006681261,0.7074754,0.005670864,0.0001497652,0.002127592,0.05198275,0.001766205,0.001544595,0.003437433,0.2250206,0.00008289378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139336,0.01892368,0.003327502,0.05636854,0.001126665,0.0009518238,0.008917232,0.0002390826,0.09621183],"genre_scores_gemma":[0.9728987,0.00905658,0.002856508,0.003069172,0.0005051643,0.0002839967,0.002344983,0.00003998914,0.008944838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410794,"threshold_uncertainty_score":0.04502213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292846841846973,"score_gpt":0.5174314774682032,"score_spread":0.3881467932835059,"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."}}