{"id":"W1570182856","doi":"10.1111/ppe.12186","title":"Socioeconomic Disparities in Preterm Birth","year":2015,"lang":"en","type":"letter","venue":"Paediatric and Perinatal Epidemiology","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biostatistics; Medicine; Epidemiology; Socioeconomic status; Family medicine; Library science; Gerontology; Population; Environmental health","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":[0.003356941,0.0002384105,0.0007009262,0.0009268015,0.004060842,0.002059869,0.001006831,0.01597161,0.008468131],"category_scores_gemma":[0.02238429,0.0005059196,0.0008444219,0.0009793759,0.001801175,0.002005686,0.003011693,0.01186692,0.001826692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590338,"about_ca_system_score_gemma":0.006148695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0345515,"about_ca_topic_score_gemma":0.08008604,"domain_scores_codex":[0.9970875,0.0008792203,0.0004930298,0.0002510567,0.0006165159,0.0006726326],"domain_scores_gemma":[0.9877364,0.006419932,0.001409765,0.000390841,0.001000786,0.003042281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001060333,0.0002208393,0.09649756,0.000156659,0.00007439256,0.003257978,0.001936748,0.0001071312,0.0001995134,0.007407851,0.8467523,0.04328294],"study_design_scores_gemma":[0.0003490291,0.0003414261,0.3143023,0.003070773,0.0002874123,0.006218345,0.01569334,0.000919003,0.0005381975,0.03422762,0.6238616,0.0001908255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008481199,0.001345085,0.00004216591,0.9790033,0.004837465,0.000009456161,0.0002057957,0.000008086209,0.00606757],"genre_scores_gemma":[0.0846582,0.003368713,0.0001950844,0.873174,0.02968295,0.00007512513,0.0002298678,0.00001933473,0.00859673],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0345515,"threshold_uncertainty_score":0.06870079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07781473299825652,"score_gpt":0.3894867075138952,"score_spread":0.3116719745156387,"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."}}