{"id":"W39368101","doi":"","title":"RURAL INCOME DISPARITIES IN CANADA: A COMPARISON ACROSS THE PROVINCES","year":2002,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Geography; Rural population; Rural area; Socioeconomics; Population; Homogeneous; Diversity (politics); Economic growth; Demography; Political science; Economics; Sociology","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":[0.0005978107,0.0002576925,0.0004392838,0.003621992,0.004143952,0.001428782,0.0007933956,0.0003182039,0.002794578],"category_scores_gemma":[0.002041566,0.0001795006,0.0005125121,0.009046065,0.0008689236,0.0004269759,0.001142092,0.0004440715,0.0001248262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04163567,"about_ca_system_score_gemma":0.05150898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996756,"about_ca_topic_score_gemma":0.9985832,"domain_scores_codex":[0.9987869,0.00005582322,0.00004378808,0.0000997298,0.0003526654,0.0006610621],"domain_scores_gemma":[0.9983044,0.0001093159,0.0002057754,0.00003760365,0.0008297859,0.0005130612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003504651,0.00007289952,0.9332578,0.0001745263,0.0001182149,0.0005021181,0.005440402,0.0006278787,0.0004474918,0.004271999,0.005174557,0.04956163],"study_design_scores_gemma":[0.0000120168,0.00002128248,0.9924641,0.00004936315,0.00002910604,0.00008387917,0.003540881,0.0002974263,0.00006528338,0.0001769061,0.003244526,0.00001517387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822164,0.002682561,0.0001429404,0.001347789,0.00002020098,0.0000574608,0.00365805,0.00001730554,0.009857267],"genre_scores_gemma":[0.9964849,0.001212429,0.0001514054,0.0001080882,0.000004868662,0.00001190283,0.0009379986,0.000005524704,0.001082886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04163567,"threshold_uncertainty_score":0.3020893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536216306867265,"score_gpt":0.2130623350996418,"score_spread":0.1977001720309692,"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."}}