{"id":"W4413849005","doi":"10.1016/j.rbmo.2025.105237","title":"Can artificial intelligence models provide reliable medical counselling to fertility patients?","year":2025,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; CReATe Fertility Centre","funders":"","keywords":"Fertility; Computer science; Medicine; Environmental health; Population","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":[0.01503046,0.0003547122,0.0003606462,0.0009669564,0.000387321,0.001703588,0.0008297035,0.001419842,0.003869869],"category_scores_gemma":[0.1022142,0.0002673219,0.0004065752,0.0007295218,0.001156096,0.001276856,0.001423595,0.0007637718,0.0007910267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007728084,"about_ca_system_score_gemma":0.001320127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009963043,"about_ca_topic_score_gemma":0.001661209,"domain_scores_codex":[0.987328,0.01103189,0.0002174203,0.0002855005,0.0009242411,0.0002129772],"domain_scores_gemma":[0.9347685,0.05577072,0.00484607,0.002367593,0.001196873,0.001050117],"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":[0.001296954,0.001756694,0.3748998,0.001526261,0.0003251331,0.0007825338,0.01935071,0.02954705,0.001469818,0.006801104,0.01148161,0.5507624],"study_design_scores_gemma":[0.0015168,0.01252104,0.4587955,0.004586799,0.001110321,0.007887495,0.05256441,0.3123215,0.007445521,0.07179914,0.06888449,0.0005669399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322313,0.002144577,0.02954899,0.0166966,0.0001244943,0.0004873001,0.0003513695,0.0003133244,0.01810202],"genre_scores_gemma":[0.9781736,0.0006708173,0.0192977,0.001037711,0.0000460648,0.0001507025,0.0001248994,0.00001243539,0.0004861774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503046,"threshold_uncertainty_score":0.07948959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262777327325916,"score_gpt":0.4243957693978163,"score_spread":0.2981180366652246,"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."}}