{"id":"W4248005315","doi":"10.24124/2010/bpgub671","title":"Environmental and reproductive health: A spatial analysis of adverse birth outcomes and environmental contaminants in British Columbia.","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; University of Victoria; University of Northern British Columbia; Library and Archives Canada","funders":"University of Northern British Columbia","keywords":"Low birth weight; Environmental health; Pregnancy; Medicine; Hazard; Hazard ratio; Birth weight; Reproductive health; Obstetrics; Demography; Geography; Population; Biology; Confidence interval; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003144628,0.0002159752,0.000235462,0.00183006,0.001350195,0.0008634573,0.0007484719,0.0003575515,0.002289325],"category_scores_gemma":[0.001467835,0.0003090379,0.0003839131,0.006210373,0.000328861,0.0002054611,0.000915951,0.0004581391,0.0002695655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005961668,"about_ca_system_score_gemma":0.008891994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9808765,"about_ca_topic_score_gemma":0.9892002,"domain_scores_codex":[0.9997025,0.00004783686,0.00002480764,0.00005280556,0.0000854133,0.00008657984],"domain_scores_gemma":[0.9992018,0.0001069512,0.0001374385,0.0000515915,0.0003432066,0.0001589626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003007076,0.00002551371,0.9882286,0.00003635111,0.00007556357,0.0001716988,0.0004825327,0.0002581297,0.0001539842,0.00007161136,0.002251239,0.008214624],"study_design_scores_gemma":[0.000001722489,0.000004964467,0.9978554,0.00001616695,0.00001755768,0.0000475832,0.001126094,0.0002759008,0.0000198877,0.00002236168,0.0006086704,0.00000366483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890839,0.0007863101,0.0002468025,0.0005035929,0.000007801069,0.00004039697,0.007266713,0.00001953134,0.002044827],"genre_scores_gemma":[0.9933476,0.0006329857,0.0004477481,0.00007795214,0.000004048397,0.00004461256,0.003057351,0.000008939035,0.00237875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01912349,"threshold_uncertainty_score":0.04325515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008596816831800672,"score_gpt":0.2789225910234986,"score_spread":0.270325774191698,"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."}}