{"id":"W6977490797","doi":"10.6084/m9.figshare.57091","title":"Integrating Ethnicity and Migration As Determinants of Canadian Women's Health-0","year":2011,"lang":"en","type":"other","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Population; Immigration; Public health; Population health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081915,0.000489313,0.0003436291,0.00298773,0.003260284,0.002650283,0.0009134993,0.0005367413,0.1426947],"category_scores_gemma":[0.003685401,0.0001662669,0.0007274668,0.005701472,0.000555683,0.0006698035,0.001167008,0.0006783918,0.005967279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01370052,"about_ca_system_score_gemma":0.04031755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874965,"about_ca_topic_score_gemma":0.9940841,"domain_scores_codex":[0.9993249,0.00005784994,0.00001679014,0.00003652379,0.0002811869,0.000282742],"domain_scores_gemma":[0.9986065,0.0001612878,0.00008457218,0.00004955638,0.0007233059,0.0003748406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000195397,0.00007817262,0.1222644,0.000702288,0.00009301014,0.0001845335,0.002145624,0.0006302416,0.0003115977,0.01572654,0.6757353,0.1819329],"study_design_scores_gemma":[0.00004608495,0.00004797115,0.6074739,0.001149039,0.0002140932,0.0001034176,0.004837277,0.0006780993,0.0004275455,0.003241257,0.3816968,0.00008441092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06822552,0.01068157,0.001018082,0.02563745,0.001574858,0.0003383104,0.1952856,0.0004789094,0.6967597],"genre_scores_gemma":[0.6211914,0.02029831,0.004718677,0.003291284,0.0004298718,0.0002645512,0.06421148,0.0004265743,0.2851679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1426947,"threshold_uncertainty_score":0.4773613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280825707227333,"score_gpt":0.2391611454994155,"score_spread":0.2110785747766822,"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."}}