{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004825,0.000404829,0.0005819347,0.0007702697,0.0004377613,0.000588969,0.0005909954,0.00054837,0.0008623271],"category_scores_gemma":[0.005283165,0.0006156062,0.001077596,0.00113889,0.0003847503,0.0005343772,0.0005699798,0.0007994084,0.0001608779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037524,"about_ca_system_score_gemma":0.0006343726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00366499,"about_ca_topic_score_gemma":0.003458932,"domain_scores_codex":[0.9991177,0.0002564103,0.0001187111,0.0002450126,0.0001600741,0.0001020474],"domain_scores_gemma":[0.9972906,0.0008062001,0.001067738,0.0004289254,0.0001883947,0.0002181975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006576098,0.00001944952,0.9995246,0.000004012019,0.00003462126,0.00003233366,0.00001820471,0.00002308353,0.00003370258,0.000004608756,0.00002194196,0.0002177278],"study_design_scores_gemma":[0.0000336315,0.0002570882,0.997717,0.00001247257,0.000117513,0.0005711117,0.0001639014,0.0008932786,0.00005491277,0.00003243743,0.0001385512,0.000008107555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993439,0.0001651653,0.0001385221,0.00001499919,0.000004795706,0.00001713002,0.0002315414,0.000002145697,0.00008178729],"genre_scores_gemma":[0.9992969,0.00009682634,0.0001560904,0.00002118316,0.000007622593,0.00002152176,0.0003630927,0.00000153041,0.00003525748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00366499,"threshold_uncertainty_score":0.01060271,"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."}}