{"id":"W4246662219","doi":"10.1016/j.jpedp.2017.08.014","title":"Preterm birth: temporal trends and socioeconomic inequalities","year":2018,"lang":"pt","type":"article","venue":"Jornal de Pediatria (Versão em Português)","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Socioeconomic status; Inequality; Demography; Geography; Sociology; Mathematics; Population","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":[0.000908968,0.0001439449,0.0002202354,0.002005644,0.0004327045,0.0009709811,0.0003507329,0.0004551679,0.002413375],"category_scores_gemma":[0.002565272,0.0002219846,0.000691978,0.005397421,0.0003004811,0.0009175892,0.0009102113,0.0005395067,0.0002546898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000466808,"about_ca_system_score_gemma":0.000745762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03452967,"about_ca_topic_score_gemma":0.03736907,"domain_scores_codex":[0.9995371,0.0001158086,0.00007154862,0.0001061066,0.00006056609,0.0001090228],"domain_scores_gemma":[0.998726,0.0002982702,0.0004861423,0.0001445276,0.0001859722,0.0001591856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005711373,0.0000317238,0.9959275,0.00001948666,0.00008133329,0.00005421077,0.0003329717,0.0000712632,0.00005894223,0.0003886865,0.0002327474,0.002743987],"study_design_scores_gemma":[0.000001285854,0.00002408303,0.9972882,0.00001769099,0.00002903741,0.0001094064,0.001215872,0.0003077611,0.00002666066,0.0001337051,0.0008421607,0.000004188073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915731,0.001316365,0.0002434425,0.0005603605,0.00001809674,0.00000653785,0.003820891,0.000008665078,0.002452472],"genre_scores_gemma":[0.9965404,0.0009201578,0.0002099892,0.00002899284,0.0000264444,0.00001189239,0.001863164,0.000006046118,0.0003928682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03452967,"threshold_uncertainty_score":0.06865734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432893265589256,"score_gpt":0.2485579036322999,"score_spread":0.2342289709764074,"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."}}