{"id":"W4365398896","doi":"10.2196/40802","title":"Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Quality (philosophy); Content analysis; Relevance (law); Video quality; Descriptive statistics; Medicine; Reliability (semiconductor); Information quality; Metric (unit); Information system; Business","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":[0.01656573,0.0003298551,0.000977309,0.01769354,0.0006388394,0.001963151,0.0005833852,0.00047486,0.002199322],"category_scores_gemma":[0.1205056,0.0002621933,0.001167039,0.01182693,0.0008568492,0.00280386,0.001917086,0.0005040677,0.0002570795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282647,"about_ca_system_score_gemma":0.002350332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007404366,"about_ca_topic_score_gemma":0.01317491,"domain_scores_codex":[0.9912915,0.003328955,0.002300675,0.0005629467,0.002151129,0.0003647658],"domain_scores_gemma":[0.8543036,0.1037975,0.02222821,0.001337393,0.0173766,0.0009566746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002436662,0.0002334031,0.7113724,0.03666872,0.001434814,0.0008703269,0.04152371,0.0004973352,0.002773334,0.0009563026,0.007149439,0.1940835],"study_design_scores_gemma":[0.0001360392,0.0007339311,0.9282323,0.01455583,0.001618423,0.0007922613,0.03472567,0.00249629,0.0016634,0.0006755979,0.01423421,0.0001360407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544221,0.01212699,0.00216144,0.0008491246,0.00008608434,0.003107275,0.02240149,0.00007473177,0.004770704],"genre_scores_gemma":[0.9719599,0.00634472,0.005868721,0.0002698676,0.00007541047,0.003723894,0.01090846,0.00005213487,0.0007969252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769354,"threshold_uncertainty_score":0.08760899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2648991328670056,"score_gpt":0.5073515108023692,"score_spread":0.2424523779353636,"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."}}