{"id":"W4237905435","doi":"10.12688/wellcomeopenres.10352.2","title":"The overlap between miscarriage and extreme preterm birth in a limited-resource setting on the Thailand-Myanmar border: a population cohort study","year":2018,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Wellcome Trust","keywords":"Miscarriage; Gestation; Obstetrics; Pregnancy; Population; Gestational age; Gynecology; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01073033,0.00033766,0.0006608325,0.0002349016,0.0008672893,0.0007351397,0.001352272,0.0002462001,0.0001474214],"category_scores_gemma":[0.0005433679,0.0001819405,0.0000779997,0.0003601509,0.0002063868,0.00005740884,0.003495966,0.002409605,0.00006382495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812142,"about_ca_system_score_gemma":0.0001899384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267492,"about_ca_topic_score_gemma":0.001042884,"domain_scores_codex":[0.9940742,0.001943898,0.000657774,0.0009433571,0.001553212,0.0008276223],"domain_scores_gemma":[0.9967236,0.001235892,0.0002095276,0.00139151,0.0001819038,0.0002575782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006931813,0.0001670191,0.99216,0.000238124,0.0001303533,0.00004158201,0.0007911976,0.000004048274,0.000006216907,0.0001037546,0.003248132,0.002416366],"study_design_scores_gemma":[0.001231459,0.0007349738,0.9734001,0.001182163,0.00003750985,0.000007964561,0.001074517,0.0002169666,0.00000979062,0.0009312533,0.02099317,0.0001801828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586707,0.0003151867,4.430424e-7,0.01178129,0.00009698998,0.009287048,0.00007688786,0.00002727553,0.01974414],"genre_scores_gemma":[0.9926242,0.000252371,0.00002113358,0.0003305536,0.0005291485,0.0003629661,0.00008355001,0.00005175464,0.005744333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03395346,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144221550681481,"score_gpt":0.4097595368936277,"score_spread":0.2953373818254796,"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."}}