{"id":"W4390610817","doi":"10.1111/1471-0528.17746","title":"ChatGPT compared with Google Search and healthcare institution as sources of postoperative patient instructions after gynecological surgery","year":2024,"lang":"en","type":"letter","venue":"BJOG An International Journal of Obstetrics & Gynaecology","topic":"Healthcare Quality and Satisfaction","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Institution; Medicine; Health care; Surgery; General surgery; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008206164,0.0008481058,0.00131664,0.003713969,0.0005907689,0.002938233,0.00109426,0.001181275,0.01337888],"category_scores_gemma":[0.1212846,0.0003364731,0.001955101,0.004445867,0.0006997958,0.005782733,0.003162893,0.001500692,0.001673629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174679,"about_ca_system_score_gemma":0.001800291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007527106,"about_ca_topic_score_gemma":0.00939994,"domain_scores_codex":[0.9893023,0.005436807,0.00161375,0.001100217,0.002039445,0.0005075171],"domain_scores_gemma":[0.878653,0.09758563,0.01461837,0.002061804,0.004407733,0.002673516],"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":[0.06352478,0.003516437,0.3874241,0.02770907,0.003946693,0.0007057538,0.02181318,0.00205638,0.001087953,0.001954672,0.02357497,0.4626861],"study_design_scores_gemma":[0.00275813,0.009688015,0.9294617,0.005483805,0.006457525,0.001088237,0.009375588,0.01361094,0.002409339,0.002507588,0.01661445,0.000544798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664942,0.005262076,0.001670545,0.001395901,0.0004596348,0.001698812,0.01078612,0.000578697,0.01165399],"genre_scores_gemma":[0.9803868,0.001989653,0.00484283,0.000527664,0.0003331059,0.002438947,0.005038206,0.0002408943,0.004202016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01337888,"threshold_uncertainty_score":0.04475683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0851700773930504,"score_gpt":0.4051272335881069,"score_spread":0.3199571561950565,"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."}}