{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007987375,0.0003328403,0.0009049083,0.004395684,0.001578537,0.002537566,0.0008517141,0.001147818,0.006464249],"category_scores_gemma":[0.07046437,0.0006385423,0.0008665336,0.005942142,0.0009533887,0.004667845,0.002215342,0.001818202,0.001214535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745117,"about_ca_system_score_gemma":0.002977935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420667,"about_ca_topic_score_gemma":0.0158746,"domain_scores_codex":[0.9907221,0.004097262,0.001755115,0.000754734,0.001853,0.0008177744],"domain_scores_gemma":[0.9129379,0.0392505,0.03362136,0.001941446,0.008666534,0.003582334],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001104678,0.001314409,0.9671167,0.001940224,0.0002624389,0.0004351099,0.006899059,0.00005620273,0.0001381282,0.0002625455,0.005566661,0.01490386],"study_design_scores_gemma":[0.0003219166,0.001326358,0.9613751,0.002095786,0.0004508631,0.001084014,0.0252283,0.0007374474,0.0001813069,0.0002339386,0.006880764,0.0000842052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985814,0.002937132,0.0003545452,0.0004564412,0.00004035352,0.001500459,0.005893087,0.00001127549,0.002992705],"genre_scores_gemma":[0.9894951,0.002357999,0.0007067586,0.0004958591,0.00008550487,0.001795055,0.004209592,0.00002260914,0.0008314832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920126,"threshold_uncertainty_score":0.04224181,"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."}}