{"id":"W2801655922","doi":"10.2196/10060","title":"YouTube Videos as a Source of Information About Clinical Trials: Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Observational study; Computer science; Data science; Medicine; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01460223,0.0001335827,0.0005670919,0.0001221041,0.000499357,0.00002172499,0.0002443089,0.0002394889,0.00594075],"category_scores_gemma":[0.005977751,0.00009971752,0.0001244252,0.0003708425,0.0001102994,0.002126987,0.0001058109,0.0005537219,0.001073335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606033,"about_ca_system_score_gemma":0.001579237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146825,"about_ca_topic_score_gemma":0.0002083036,"domain_scores_codex":[0.991653,0.002239461,0.005135259,0.0001677476,0.0004798604,0.0003246314],"domain_scores_gemma":[0.9939932,0.001584291,0.002362025,0.0004226103,0.001453898,0.0001839522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006869239,0.0001880423,0.8528721,0.0003161117,0.00003622267,4.844406e-8,0.03116468,0.000003873443,0.000002215486,0.0006149634,0.0318419,0.08227293],"study_design_scores_gemma":[0.001715939,0.0002247097,0.5730126,0.0001413743,0.00001353709,8.479331e-8,0.00374218,0.001215685,0.000004696407,0.0001339332,0.4197161,0.00007922376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816942,0.00003708083,0.002196219,0.0009494791,0.001921083,0.003622402,0.00008106816,0.00009173522,0.009406712],"genre_scores_gemma":[0.9779698,0.00003224326,0.0004684527,0.01699053,0.001730908,0.001435912,0.00006674533,0.00001063052,0.001294838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878742,"threshold_uncertainty_score":0.9997044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4880888426347564,"score_gpt":0.65958424489928,"score_spread":0.1714954022645236,"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."}}