{"id":"W4291108861","doi":"10.1093/hropen/hoac033","title":"International Natural Procreative Technology Evaluation and Surveillance of Treatment for Subfertility (iNEST): enrollment and methods","year":2022,"lang":"en","type":"article","venue":"Human Reproduction Open","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"National Center for Advancing Translational Sciences","keywords":"Assisted reproductive technology; Medicine; Live birth; Pregnancy; Prospective cohort study; Reproductive medicine; Medical record; Cohort study; Retrospective cohort study; Demography; Family medicine; Gynecology; Infertility; Surgery","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":[0.002058403,0.00009965103,0.000279741,0.0001911549,0.0002482224,0.00001295779,0.0000992882,0.0000378372,0.00004967186],"category_scores_gemma":[0.0008389304,0.0000836383,0.00002456055,0.0001820058,0.000159017,0.00007331724,0.0002384457,0.0001128171,1.211321e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234065,"about_ca_system_score_gemma":0.00010698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001057301,"about_ca_topic_score_gemma":0.00001026725,"domain_scores_codex":[0.9986595,0.0001380956,0.0002659439,0.0006666717,0.0001605487,0.0001092718],"domain_scores_gemma":[0.9988889,0.00003685944,0.000188451,0.0004334587,0.0004285718,0.00002378895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002734807,0.0005468646,0.1511744,0.000169913,0.0002700978,0.000001211996,0.0008955206,0.00002270289,0.05303781,0.00433646,0.0002497919,0.7865605],"study_design_scores_gemma":[0.009995391,0.008262474,0.6985226,0.00003839696,0.0001830756,0.000423444,0.004768305,0.001154279,0.132962,0.03149639,0.1118311,0.0003625227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857426,0.001667461,0.00009400352,0.007350104,0.0002563104,0.004156004,0.00001262852,0.00006101194,0.0006598194],"genre_scores_gemma":[0.9873149,0.00009645488,0.009654811,0.00001920811,0.00006531743,0.001867398,0.00006522647,0.000008866901,0.0009077728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.786198,"threshold_uncertainty_score":0.3410671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012207263580347,"score_gpt":0.4853429182110978,"score_spread":0.3841221918530631,"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."}}