{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0367216,0.001770167,0.0020658,0.002368768,0.002889232,0.001549406,0.002617054,0.002499993,0.01566699],"category_scores_gemma":[0.03019999,0.001892686,0.001751513,0.002645519,0.001402417,0.002607592,0.002471907,0.00186129,0.009217749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236771,"about_ca_system_score_gemma":0.008260832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00365921,"about_ca_topic_score_gemma":0.003462395,"domain_scores_codex":[0.9731697,0.01708692,0.004222777,0.002025967,0.002071377,0.001423286],"domain_scores_gemma":[0.9829543,0.002135302,0.004499421,0.003476545,0.003907905,0.003026603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.186855,0.03326927,0.4699028,0.008596435,0.001061422,0.0009063186,0.005052492,0.002160777,0.006781901,0.005096021,0.08869725,0.1916203],"study_design_scores_gemma":[0.1237415,0.09400677,0.5919057,0.004998111,0.001418664,0.001129805,0.003126393,0.005997948,0.006343668,0.003304791,0.1635108,0.0005159215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.06142168,0.0007522071,0.0116401,0.001169866,0.0003277493,0.9009695,0.01873453,0.0001965291,0.004787756],"genre_scores_gemma":[0.06666547,0.0004207274,0.01867924,0.001751958,0.0002929628,0.9048637,0.005799533,0.00004501437,0.001481459],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0367216,"threshold_uncertainty_score":0.1942047,"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."}}