{"id":"W7056345577","doi":"","title":"Ethnic and Regional Differences in Prevalence and Correlates of Chronic Diseases and Risk Factors in Northern Canada","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Odds ratio; Asthma; Psychological intervention; Epidemiology; Odds; Confidence interval; Chronic disease","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":[0.0008084772,0.000225021,0.00032984,0.001368513,0.002471783,0.001107316,0.0007086445,0.0002049621,0.002705973],"category_scores_gemma":[0.002032648,0.0002176963,0.0004000499,0.002958462,0.0006755946,0.0002428292,0.0007437883,0.0002984358,0.0001547057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01354221,"about_ca_system_score_gemma":0.0178308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941519,"about_ca_topic_score_gemma":0.9960629,"domain_scores_codex":[0.9991046,0.00007756909,0.00004083232,0.0001363152,0.0002784163,0.0003622202],"domain_scores_gemma":[0.9984958,0.0001076307,0.000292729,0.00006543724,0.0006976858,0.0003407803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006082828,0.0000165969,0.9908563,0.00003241985,0.00006209365,0.00009650024,0.001236556,0.0001208717,0.0002072066,0.0001291027,0.000872673,0.006308899],"study_design_scores_gemma":[0.000002467264,0.00000565552,0.9978808,0.00001850972,0.00001576681,0.00004156577,0.001308249,0.0001049655,0.0000431369,0.00002483999,0.0005482252,0.000005700605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930618,0.001043752,0.0001508119,0.0003015193,0.000009854477,0.00002739896,0.002528605,0.00001178709,0.002864377],"genre_scores_gemma":[0.9978274,0.0004619595,0.0001659223,0.00006037692,0.00000391008,0.0000117036,0.000716493,0.000004197429,0.0007480775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354221,"threshold_uncertainty_score":0.09825611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.098908429055783,"score_gpt":0.4101403595575916,"score_spread":0.3112319305018086,"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."}}