{"id":"W2033055757","doi":"10.1067/mob.2000.106855","title":"Predicting preterm birth: A cost-effectiveness analysis","year":2000,"lang":"en","type":"article","venue":"American Journal of Obstetrics and Gynecology","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Fetal fibronectin; Respiratory distress; Preterm delivery; Obstetrics; Fetus; Intensive care medicine; Gynecology; Pregnancy; Pediatrics; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008112287,0.002498918,0.005344797,0.003408596,0.0004889458,0.00290265,0.001597036,0.002936179,0.005981008],"category_scores_gemma":[0.02871613,0.001224603,0.007542714,0.002067115,0.0007225726,0.002155859,0.001019122,0.002304777,0.0003076292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00370025,"about_ca_system_score_gemma":0.002589775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00946387,"about_ca_topic_score_gemma":0.005499828,"domain_scores_codex":[0.9920535,0.006203684,0.0003810533,0.0004846039,0.0005854698,0.0002917067],"domain_scores_gemma":[0.9771068,0.02108487,0.0005889075,0.0003080312,0.0004376387,0.0004738559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.1621232,0.00576348,0.08194387,0.005222306,0.04763024,0.001322866,0.0002034626,0.437457,0.002130555,0.002963993,0.002513705,0.2507254],"study_design_scores_gemma":[0.04016678,0.03930305,0.07334179,0.001506121,0.08502824,0.00258512,0.0005357498,0.7457524,0.001510998,0.007609419,0.002241597,0.000418742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095657,0.04637972,0.02745044,0.004629295,0.0004571725,0.002366113,0.003170788,0.0001730992,0.005807606],"genre_scores_gemma":[0.9874559,0.004710209,0.0060332,0.0002692682,0.0001159558,0.000347317,0.0007317745,0.00001648222,0.0003198728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00946387,"threshold_uncertainty_score":0.04290235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250983573667517,"score_gpt":0.274021080744809,"score_spread":0.2615112450081338,"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."}}