{"id":"W2080505160","doi":"10.1016/j.fertnstert.2012.07.989","title":"A validated, multi-center model for predicting personalized probabilities of live birth with first IVF cycle","year":2012,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Fertility Centre","funders":"","keywords":"Live birth; Statistics; Receiver operating characteristic; Mathematics; Medicine; Computer science; Biology; Pregnancy","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":[],"consensus_categories":[],"category_scores_codex":[0.0004538116,0.0001739538,0.0004037114,0.00003931511,0.0001528892,0.000005616957,0.00006239142,0.000154293,0.00002733742],"category_scores_gemma":[0.0003331786,0.0001259184,0.00009018168,0.00007051113,0.0006467301,0.0001897086,0.00007244779,0.0001682642,9.66781e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004005442,"about_ca_system_score_gemma":0.00005676762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003218083,"about_ca_topic_score_gemma":0.00006999138,"domain_scores_codex":[0.9988218,0.00005334456,0.0002941449,0.0003948614,0.0001248265,0.000311038],"domain_scores_gemma":[0.9990761,0.0000860254,0.0001063083,0.0004412494,0.0001864354,0.0001038846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02466665,0.002003786,0.9607495,0.002667191,0.0001851698,8.189347e-7,0.008572645,0.000006713259,0.0002686477,0.00004878539,0.000008450528,0.0008216303],"study_design_scores_gemma":[0.004028855,0.0003892197,0.9783351,0.0003327874,0.0001366718,0.00002183895,0.001167274,0.01347093,0.001498062,0.0003894737,0.00008728512,0.0001424533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841086,0.0007932805,0.01328452,0.0002659177,0.00005007916,0.001087252,0.0001691224,0.0001134549,0.0001277286],"genre_scores_gemma":[0.9914579,0.00001198115,0.007894708,0.00003111986,0.00002136854,0.0001453125,0.00002277218,0.0000133356,0.0004015014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02063779,"threshold_uncertainty_score":0.5134802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672823713250109,"score_gpt":0.2790548102690126,"score_spread":0.2323265731365116,"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."}}