{"id":"W2942376140","doi":"10.2196/12605","title":"YouTube Videos as a Source of Information About Immunology for Medical Students: Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Attractiveness; Context (archaeology); Reliability (semiconductor); Presentation (obstetrics); Quality (philosophy); Computer science; The Internet; Medical education; Psychology; Medicine; Multimedia; World Wide Web; Power (physics)","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006804287,0.0001532042,0.00034067,0.0002403972,0.0004012003,0.00004321965,0.0007163198,0.000633322,0.0131065],"category_scores_gemma":[0.008400026,0.0001251252,0.00008662452,0.0002992222,0.000114958,0.001583916,0.0001984902,0.000895802,0.001401727],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002893983,"about_ca_system_score_gemma":0.006703225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000713382,"about_ca_topic_score_gemma":0.00003149228,"domain_scores_codex":[0.9938731,0.0005162238,0.002929789,0.0002301469,0.002038422,0.0004123843],"domain_scores_gemma":[0.9961158,0.000855412,0.000991827,0.0004315694,0.001188173,0.0004171989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003713058,0.001094192,0.9569615,0.0007389006,0.00002955646,4.126504e-8,0.0170162,9.722032e-7,0.000001325241,0.001441222,0.003281284,0.01906349],"study_design_scores_gemma":[0.002961678,0.0003358487,0.8649855,0.000224602,0.000005788412,0.000002843346,0.008469628,0.0007444191,0.000002261108,0.0002502918,0.1219119,0.0001051663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854975,0.00003398392,0.001801774,0.001319333,0.003805652,0.004580635,0.00001294205,0.00008111531,0.002867075],"genre_scores_gemma":[0.9818345,0.00001444134,0.0001473049,0.01351486,0.0004816063,0.002201033,0.0003686689,0.00001190143,0.001425714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1186307,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102321693962682,"score_gpt":0.5125771650619165,"score_spread":0.4915539481222897,"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."}}