{"id":"W3016799379","doi":"10.2196/17366","title":"Predicting Ectopic Pregnancy Using Human Chorionic Gonadotropin (hCG) Levels and Main Cause of Infertility in Women Undergoing Assisted Reproductive Treatment: Retrospective Observational Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Ectopic Pregnancy Diagnosis and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Intracytoplasmic sperm injection; Human chorionic gonadotropin; Infertility; Medicine; Ectopic pregnancy; Gynecology; Obstetrics; In vitro fertilisation; Assisted reproductive technology; Population; Pregnancy; Embryo transfer; Retrospective cohort study; Incidence (geometry); Biology; Internal medicine; Mathematics; Hormone","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000378966,0.000203547,0.0006219395,0.0001046575,0.00008940561,0.00002017784,0.0001023794,0.0001129737,0.00009216458],"category_scores_gemma":[0.0008412041,0.0001720477,0.00005231958,0.000360584,0.0001082449,0.0002508641,0.0001641353,0.000278909,9.424912e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794779,"about_ca_system_score_gemma":0.0003131271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699257,"about_ca_topic_score_gemma":0.000203364,"domain_scores_codex":[0.9976767,0.00008772749,0.0009974532,0.00028706,0.0006557883,0.0002952369],"domain_scores_gemma":[0.9989122,0.000117789,0.0003122241,0.0003251004,0.00009768282,0.0002350064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000476844,0.0006567274,0.9800736,0.0005476083,0.000277065,0.00003752111,0.0165906,0.000009259923,0.00003343197,0.0002456662,0.00001389079,0.001467003],"study_design_scores_gemma":[0.003585599,0.001099905,0.9876572,0.001354564,0.00008702427,0.000008766528,0.003695852,0.002117002,0.00006440211,0.0001901103,0.00001337651,0.0001262359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964419,0.000127153,0.0001422256,0.0004058043,0.00006272108,0.002197558,0.00001809682,0.00004544288,0.000559127],"genre_scores_gemma":[0.9988324,0.00006649937,0.000395428,0.0002689811,0.000101639,0.0002633449,0.00002036056,0.00001267373,0.00003866478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01289474,"threshold_uncertainty_score":0.7015904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09594858524184062,"score_gpt":0.3520276057036135,"score_spread":0.2560790204617729,"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."}}