{"id":"W2166249698","doi":"10.1093/humrep/dei131","title":"Associate editor’s commentary: Mathematical modelling and clinical prediction","year":2005,"lang":"en","type":"letter","venue":"Human Reproduction","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Cognitive science; Medicine; Psychology","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":[0.01337306,0.001250133,0.002964972,0.001510536,0.003773778,0.005646734,0.00485248,0.06119591,0.006510453],"category_scores_gemma":[0.1329872,0.001253483,0.00217862,0.001692974,0.004258247,0.003817536,0.001814273,0.05815727,0.003532326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005637657,"about_ca_system_score_gemma":0.005952562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244091,"about_ca_topic_score_gemma":0.01675628,"domain_scores_codex":[0.9909776,0.004170635,0.001628596,0.0008760989,0.00180179,0.0005452666],"domain_scores_gemma":[0.9109372,0.07072839,0.003644849,0.001722802,0.01040972,0.002556845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004196496,0.00001048038,0.0002517785,0.00006844183,0.00002563372,0.0004068847,0.00007828745,0.0001290843,0.00001361169,0.003120109,0.9933379,0.002515926],"study_design_scores_gemma":[0.0004032311,0.00007673251,0.001761861,0.001645968,0.0002546197,0.002160503,0.000650958,0.004657177,0.0002367451,0.0476221,0.9403358,0.0001942521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001107516,0.0008737378,0.0001095206,0.9678553,0.03046232,0.000004066332,0.00005911455,0.000007363843,0.0005177841],"genre_scores_gemma":[0.004892377,0.0017224,0.0004996191,0.8164565,0.1736367,0.00004475185,0.00003829735,0.00002798174,0.00268144],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06119591,"threshold_uncertainty_score":0.07072437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05115648334776864,"score_gpt":0.3266075269253068,"score_spread":0.2754510435775382,"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."}}