{"id":"W2134995456","doi":"10.1093/humrep/deh889","title":"Life table (survival) analysis to generate cumulative pregnancy rates in assisted reproduction: are we overestimating our success rates?","year":2005,"lang":"en","type":"review","venue":"Human Reproduction","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Censoring (clinical trials); Pregnancy; Infertility; Pregnancy rate; Life table; Statistics; Medicine; Obstetrics; Gynecology; Computer science; Demography; Mathematics; Population; Biology; Environmental health","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":[0.002201439,0.001070284,0.004414468,0.002825474,0.0005493713,0.0001645641,0.0003980661,0.0006857463,0.00009402038],"category_scores_gemma":[0.006879654,0.0009430409,0.0006626679,0.007885879,0.0001118264,0.0004310969,0.0002618842,0.001525858,0.0000872032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103363,"about_ca_system_score_gemma":0.0006832374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391284,"about_ca_topic_score_gemma":0.0002575176,"domain_scores_codex":[0.990329,0.0006544415,0.00251436,0.004775511,0.0007730299,0.0009536659],"domain_scores_gemma":[0.9919898,0.00006926971,0.002264421,0.004317222,0.000937264,0.0004220369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001222863,0.0007683772,0.005096872,0.01853748,0.002127068,0.000103443,0.0002551604,0.002393013,0.00004294326,0.0002408514,0.002814185,0.9674983],"study_design_scores_gemma":[0.001355391,0.0005867889,0.02198055,0.03555023,0.008871733,0.0002991224,0.001041704,0.0001556202,0.000491995,0.000270828,0.9272124,0.002183592],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003138481,0.9853561,0.0001200466,0.00414237,0.001275107,0.00453642,0.00002921486,0.0007237166,0.000678568],"genre_scores_gemma":[0.004972542,0.9775802,0.002552409,0.00005415037,0.004316587,0.001288565,0.0005970654,0.0001871992,0.008451272],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9653147,"threshold_uncertainty_score":0.999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2515683913390265,"score_gpt":0.4696154643320889,"score_spread":0.2180470729930624,"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."}}