{"id":"W2788253105","doi":"10.2196/publichealth.7733","title":"Pre-Exposure Prophylaxis YouTube Videos: Content Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pre-exposure prophylaxis; Internet privacy; Computer science; Medicine; Family medicine; Human immunodeficiency virus (HIV)","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":[0.005897202,0.0006755489,0.0007296497,0.003078236,0.0007081851,0.001308216,0.0005609107,0.0005499345,0.006781108],"category_scores_gemma":[0.03314675,0.0002098907,0.001001733,0.001258772,0.0004423962,0.001597158,0.001286446,0.0006099749,0.001121119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836661,"about_ca_system_score_gemma":0.001662254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005276156,"about_ca_topic_score_gemma":0.008960928,"domain_scores_codex":[0.9972779,0.001131524,0.0003727459,0.0001898368,0.0007749948,0.0002529752],"domain_scores_gemma":[0.9775614,0.01280211,0.001605769,0.0004224776,0.006245399,0.001362856],"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":[0.01552392,0.02105561,0.07968645,0.02320585,0.0006638102,0.0007251818,0.01791085,0.002203813,0.00881713,0.001499105,0.06053302,0.7681752],"study_design_scores_gemma":[0.01074473,0.08001895,0.6555079,0.01520718,0.003749216,0.001341021,0.04171,0.03083062,0.02366611,0.002659027,0.1337755,0.0007896816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358143,0.00203173,0.002477202,0.000543038,0.0002670311,0.0299634,0.0115712,0.0004473911,0.01688484],"genre_scores_gemma":[0.8966573,0.004299333,0.02936395,0.0007004557,0.0002769859,0.04469381,0.01454738,0.000203279,0.009257556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006781108,"threshold_uncertainty_score":0.03118777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09162953798570159,"score_gpt":0.3947287352011926,"score_spread":0.3030991972154909,"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."}}