{"id":"W1936784069","doi":"10.1186/s12884-015-0622-0","title":"Preterm birth among the hmong, other Asian subgroups and non-hispanic whites in California","year":2015,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; National Institutes of Health; California Department of Public Health; National Science Foundation","keywords":"Medicine; Thais; Vietnamese; Demography; Odds; Odds ratio; Logistic regression; Internal medicine","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":[0.0003286419,0.0001938387,0.0001612374,0.0006628996,0.0008321036,0.0005245543,0.0003373255,0.0001805126,0.001096218],"category_scores_gemma":[0.0006544022,0.0002134489,0.000199503,0.001100508,0.000230367,0.0002370948,0.0003943438,0.0002660778,0.0001038819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008136372,"about_ca_system_score_gemma":0.001016877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3504922,"about_ca_topic_score_gemma":0.3691637,"domain_scores_codex":[0.9998397,0.00002300607,0.00001438374,0.00005239935,0.00003339035,0.00003714222],"domain_scores_gemma":[0.9995009,0.00004660236,0.0001809272,0.00003091199,0.00009177515,0.0001490118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004885314,0.00002038173,0.9970758,0.00001877012,0.00003058099,0.00006750689,0.0006438979,0.00001632626,0.0001340241,0.00003204173,0.000259478,0.001652398],"study_design_scores_gemma":[0.000003582328,0.00001957584,0.9982979,0.00001312109,0.00001602558,0.00004939105,0.001228006,0.00002992286,0.00002930814,0.000008785224,0.0003023708,0.000002021212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986609,0.0001528067,0.00001317369,0.00004042996,0.00000223459,0.000006966747,0.0005369357,0.000001360491,0.0005850878],"genre_scores_gemma":[0.9987471,0.000280044,0.00004650686,0.00004943005,0.000004880209,0.0000117116,0.0005205258,0.000001325141,0.0003383925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3504922,"threshold_uncertainty_score":0.6969043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825765446946219,"score_gpt":0.2662732661746163,"score_spread":0.2480156117051541,"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."}}