{"id":"W2107152852","doi":"10.1007/s12061-009-9027-7","title":"A Spatial Analysis of the Demographic and Socio-economic Variables Associated with Cardiovascular Disease in Calgary (Canada)","year":2009,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Socioeconomic status; Multivariate statistics; Generality; Multivariate analysis; Regression analysis; Econometrics; Variables; Disease; Geography; Environmental health; Statistics; Medicine; Psychology; Economics; Population; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009413851,0.0002990285,0.0003889368,0.002660409,0.001974751,0.001452496,0.001136055,0.0005538886,0.002026015],"category_scores_gemma":[0.003241462,0.0003209402,0.0008375722,0.009065107,0.000894799,0.0003514744,0.001452118,0.0006745688,0.0002076177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02346796,"about_ca_system_score_gemma":0.03777734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977868,"about_ca_topic_score_gemma":0.9981394,"domain_scores_codex":[0.999243,0.0001383903,0.00004774288,0.0001158466,0.0001558911,0.0002990868],"domain_scores_gemma":[0.9976221,0.0003078758,0.0002910207,0.0001091741,0.001306241,0.0003636233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001365448,0.00005709781,0.9817808,0.00004574961,0.0002092381,0.0002270034,0.0009197866,0.003819282,0.0002351475,0.001231514,0.002427498,0.00891031],"study_design_scores_gemma":[0.000008881259,0.00001414714,0.9927667,0.00003257161,0.00004985644,0.00004144992,0.002625308,0.002982943,0.00004848233,0.0001439193,0.00127261,0.00001310989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919854,0.0006579206,0.0004224935,0.0005722216,0.00001213385,0.00003947387,0.0051236,0.00001150273,0.001175056],"genre_scores_gemma":[0.9942169,0.0006130062,0.0008495042,0.00007836227,0.00000868915,0.0000268997,0.002734937,0.000006175984,0.001465658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02346796,"threshold_uncertainty_score":0.1702728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008117852947800456,"score_gpt":0.1795914024267303,"score_spread":0.1714735494789298,"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."}}