{"id":"W2171038270","doi":"10.1177/0272989x14535984","title":"Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Ovarian function and disorders","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"In vitro fertilisation; Outcome (game theory); Human fertilization; Medicine; Computer science; Intensive care medicine; Biology; Pregnancy; Mathematics; Mathematical economics","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":[0.00255657,0.001070148,0.0008133111,0.0008936262,0.0003209475,0.0009400348,0.0008999569,0.0008465322,0.0009953267],"category_scores_gemma":[0.005856487,0.0003254414,0.0008801433,0.0004868957,0.0003454891,0.0003114229,0.0004404536,0.001073117,0.0002479153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008321896,"about_ca_system_score_gemma":0.000928556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924828,"about_ca_topic_score_gemma":0.007017322,"domain_scores_codex":[0.9994528,0.0002336425,0.00003469125,0.0001204361,0.00007770928,0.0000808266],"domain_scores_gemma":[0.9961392,0.003023402,0.0003337328,0.00007786297,0.0003395619,0.00008635701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004652793,0.0002539413,0.06474521,0.00009273998,0.0001985806,0.0005018916,0.00007808053,0.8992949,0.0008191038,0.0005542114,0.001009583,0.03198659],"study_design_scores_gemma":[0.000009651752,0.00005783634,0.004295991,0.00001045297,0.00002396992,0.00004299799,0.00001144101,0.9948059,0.0001767704,0.0004934748,0.00006581186,0.000005802176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8743423,0.001698192,0.1189823,0.00103452,0.0001103593,0.0002250742,0.001604277,0.0003973388,0.001605595],"genre_scores_gemma":[0.9920307,0.0002976627,0.006459377,0.00004323515,0.00003267292,0.00007844091,0.0005905846,0.000004858331,0.0004624817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924828,"threshold_uncertainty_score":0.0382725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068180435003499,"score_gpt":0.3488347627538627,"score_spread":0.3181529584038277,"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."}}