{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01184902,0.0006754758,0.002706748,0.003635367,0.0001333131,0.001071165,0.001888496,0.001145942,0.003365044],"category_scores_gemma":[0.03778091,0.0003842001,0.001775473,0.005923447,0.0008095183,0.001648536,0.0003886081,0.001537932,0.001351732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008584874,"about_ca_system_score_gemma":0.0008608124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027771,"about_ca_topic_score_gemma":0.00192028,"domain_scores_codex":[0.9946103,0.004048096,0.0003318723,0.0002232009,0.0007415508,0.00004498837],"domain_scores_gemma":[0.9590338,0.03704835,0.001716809,0.0007241821,0.001379291,0.00009750146],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001043229,0.00004897741,0.002617497,0.01470933,0.0007815309,0.00008798363,0.0001549288,0.00675473,0.00009532734,0.01747191,0.01506336,0.9421101],"study_design_scores_gemma":[0.0005200939,0.001627228,0.0391085,0.05870033,0.004626462,0.00517063,0.001132606,0.05762995,0.00208085,0.169401,0.6594784,0.0005239501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.002310237,0.9342062,0.05669439,0.002191877,0.0005473428,0.0001158019,0.0006499367,0.0002142387,0.003070056],"genre_scores_gemma":[0.03540466,0.902577,0.05770599,0.0009523833,0.0005363099,0.0003867569,0.0008993946,0.00006174776,0.001475655],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.988151,"threshold_uncertainty_score":0.06266433,"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."}}