{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000140564,0.00008271058,0.0001221137,0.000001877597,0.0002051428,0.00006297476,0.0002452468,0.00002396652,0.0004196863],"category_scores_gemma":[0.00002928625,0.00002026825,0.00002370096,0.0001984916,0.00006196222,0.000101405,0.00008061319,0.00009460851,0.000007933807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011253,"about_ca_system_score_gemma":0.00002513006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9559566,"about_ca_topic_score_gemma":0.997717,"domain_scores_codex":[0.9991704,0.00004903245,0.0001892323,0.0001093419,0.0001705595,0.000311448],"domain_scores_gemma":[0.9997266,0.000147196,0.00002932938,0.00003360653,0.00002403612,0.00003922554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003296127,0.00001639827,0.9662762,0.000002925248,0.000001464806,0.000001720957,0.0001554499,0.000002259751,0.00004432476,0.000182886,0.00232676,0.03098634],"study_design_scores_gemma":[0.00004277382,0.00001714935,0.9873386,0.000003879984,4.761398e-7,7.394268e-7,0.00667013,0.0004006478,0.00006641765,0.0002747125,0.005096442,0.00008800938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858324,0.0001689942,8.099681e-8,0.01216186,0.00006279019,0.0001653523,0.000005411072,0.00001878977,0.001584328],"genre_scores_gemma":[0.9978092,0.00001578054,0.000004256602,0.0002573516,0.00002899251,0.00001816592,0.000004292969,2.011408e-7,0.001861718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04176042,"threshold_uncertainty_score":0.4595271,"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."}}