{"id":"W4411751770","doi":"10.1093/humrep/deaf097.363","title":"P-054 Optimization of pregnancy rates in donor intrauterine insemination: impact of age, protocol, and number of cycles: analysis of 1961 cycles","year":2025,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Intrauterine insemination; Pregnancy; Insemination; Donor insemination; Andrology; Medicine; Protocol (science); Gynecology; Pregnancy rate; Obstetrics; Artificial insemination; Biology; Genetics; Sperm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003191017,0.0001338721,0.0006387119,0.0008777467,0.00002927232,0.000002358144,0.00007060365,0.0001408229,0.0000875519],"category_scores_gemma":[0.0003099634,0.0001170875,0.0001333469,0.001600011,0.0003917722,0.0001113317,0.00005416583,0.0001300747,1.008181e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005141163,"about_ca_system_score_gemma":0.0000581173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001484823,"about_ca_topic_score_gemma":0.00001940838,"domain_scores_codex":[0.9984802,0.00007271933,0.0007613474,0.000459251,0.0001290321,0.00009746242],"domain_scores_gemma":[0.9983064,0.00002550858,0.0006037858,0.0006814001,0.0003671325,0.00001576924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004943308,0.001285461,0.919939,0.002156139,0.00142818,0.000004586022,0.0007133156,0.004550806,0.04420947,0.002186541,0.00002774869,0.02300444],"study_design_scores_gemma":[0.001077087,0.0002734017,0.8650319,0.001458599,0.000576379,0.0000081814,0.0001098737,0.0003260984,0.1297819,0.001274865,0.000005624596,0.0000760972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908326,0.0003510129,0.0005939748,0.00007460021,0.00003191897,0.007054481,0.000007529369,0.00002924417,0.001024603],"genre_scores_gemma":[0.9963993,0.00013404,0.001941478,0.00000101199,0.00001784899,0.001245372,0.00004249082,0.000009088641,0.0002093888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08557244,"threshold_uncertainty_score":0.4774691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111316251202151,"score_gpt":0.3706980957848571,"score_spread":0.3495849332728356,"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."}}