{"id":"W2340778740","doi":"10.1186/s12940-016-0133-0","title":"The reduction of birth weight by fine particulate matter and its modification by maternal and neighbourhood-level factors: a multilevel analysis in British Columbia, Canada","year":2016,"lang":"en","type":"article","venue":"Environmental Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa; University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Multilevel model; Birth weight; Demography; Socioeconomic status; Random effects model; Low birth weight; Interaction; Gestational age; Medicine; Geography; Environmental health; Statistics; Population; Mathematics; Pregnancy; Meta-analysis; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969217,0.00009763295,0.000198957,0.00001393263,0.000249907,0.00003194599,0.00007880766,0.00004753678,0.0008810257],"category_scores_gemma":[0.000007960781,0.00009041501,0.00001864621,0.00008519501,0.0001663037,0.0001792005,0.00006269175,0.00007703529,0.000008995432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592128,"about_ca_system_score_gemma":0.0000278991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.83083,"about_ca_topic_score_gemma":0.8314064,"domain_scores_codex":[0.9985216,0.0001388105,0.0004079172,0.0002981288,0.0002768465,0.0003567584],"domain_scores_gemma":[0.9993392,0.00005845093,0.0002131784,0.0001370516,0.000001161664,0.0002509866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001041576,0.00005586525,0.9690959,0.00001996686,0.00001569556,4.735039e-7,0.0001976287,0.000009324813,0.002147101,8.348796e-7,0.005013606,0.02343313],"study_design_scores_gemma":[0.0003819911,0.00004967849,0.9969746,0.00002146715,0.00001010472,0.000005399478,0.00008896418,0.0004549889,0.0008359347,0.00002732908,0.001048286,0.0001012395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951227,0.00042704,0.0001005413,0.003190793,0.00003144881,0.0002647961,0.0008517228,0.000004154286,0.000006824002],"genre_scores_gemma":[0.9974616,0.0009011611,0.00005212165,0.000331536,0.000007475025,0.00001383477,0.00002878982,0.000009987196,0.00119345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02787866,"threshold_uncertainty_score":0.9646614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713161311931087,"score_gpt":0.2418219433725728,"score_spread":0.2246903302532619,"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."}}