{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001424089,0.000306652,0.0006037353,0.0005552593,0.0002212509,0.00002232506,0.0002636439,0.0002456847,0.0001752382],"category_scores_gemma":[0.003461262,0.0002583312,0.0001001962,0.001889464,0.0003283328,0.000129888,0.00006891959,0.0005595745,0.00005751475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678666,"about_ca_system_score_gemma":0.001318821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211794,"about_ca_topic_score_gemma":0.0003929065,"domain_scores_codex":[0.9958397,0.00008088112,0.001282173,0.001234925,0.0009695231,0.0005927851],"domain_scores_gemma":[0.9963054,0.0001881011,0.0001558236,0.001057875,0.001715554,0.0005772435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003235094,0.005495894,0.0182569,0.0008612821,0.0001980641,0.00003940159,0.005059147,0.0004784883,0.002543703,0.007592808,0.009704026,0.9465352],"study_design_scores_gemma":[0.0007702266,0.007791852,0.03674418,0.007910809,0.001017972,0.00007369094,0.01658773,0.07615685,0.1807358,0.589932,0.08005225,0.002226588],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7879981,0.0008005635,0.02791131,0.1778231,0.002426388,0.002080331,0.00004400331,0.000208967,0.0007072369],"genre_scores_gemma":[0.9882976,0.0003322292,0.002731052,0.005211327,0.001644514,0.00009232225,0.0003538464,0.00003315488,0.001303892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9443086,"threshold_uncertainty_score":0.9999869,"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."}}