{"id":"W7113899659","doi":"10.2196/83900","title":"Quality, Reliability, and Dissemination of In Vitro Fertilization–Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Social media; Quality (philosophy); Dissemination; Information Dissemination; Risk communication","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":[0.001473948,0.0002382392,0.0002485624,0.001870703,0.0004491606,0.0006261345,0.0002979298,0.0003573672,0.001431093],"category_scores_gemma":[0.006334094,0.0001865409,0.0004823893,0.001639566,0.0004039147,0.000876864,0.0007176197,0.0003983088,0.0001633179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171248,"about_ca_system_score_gemma":0.0004810964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01339947,"about_ca_topic_score_gemma":0.0143118,"domain_scores_codex":[0.9992772,0.0001516768,0.0001349176,0.0001347,0.0002055834,0.00009588714],"domain_scores_gemma":[0.9951848,0.0013763,0.001992369,0.0002807871,0.0007887374,0.0003770721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003829478,0.00002992481,0.997121,0.0000264621,0.00004721425,0.00003285272,0.0005940021,0.00003200879,0.00012197,0.00001758563,0.00008121795,0.001857572],"study_design_scores_gemma":[0.000001818193,0.00004300061,0.9985889,0.000008142998,0.00002304198,0.00003680612,0.0008474928,0.000288295,0.00005553347,0.000009687421,0.00009333077,0.000004037855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992249,0.00006306835,0.00005405135,0.00002317649,0.000002175394,0.00002203121,0.0003796863,0.000001425396,0.0002294976],"genre_scores_gemma":[0.9991896,0.00006004781,0.00008848916,0.00001540522,0.000005301659,0.00002919455,0.0005006468,0.000001093061,0.0001102304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01339947,"threshold_uncertainty_score":0.02664298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03313464074000175,"score_gpt":0.4426696120068632,"score_spread":0.4095349712668614,"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."}}