{"id":"W7098177910","doi":"","title":"CENTRE FOR THE STUDY OF LIVING STANDARDS CONVERGENCE ACROSS PROVINCIAL ECONOMIES IN CANADA: TRENDS, DRIVERS, AND IMPLICATIONS","year":2014,"lang":"en","type":"article","venue":"","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Redistribution (election); Inequality; State (computer science); Standard of living","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":[0.001283414,0.0001775844,0.0002857704,0.002324817,0.003343279,0.001265803,0.0008692208,0.0002439352,0.006501414],"category_scores_gemma":[0.00536247,0.0001431865,0.0003800137,0.005397986,0.0006623439,0.0003927372,0.001044669,0.000651266,0.0004882742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02896428,"about_ca_system_score_gemma":0.07779711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968196,"about_ca_topic_score_gemma":0.9971218,"domain_scores_codex":[0.9990582,0.0001128611,0.00004782505,0.0000897174,0.0003826513,0.0003086736],"domain_scores_gemma":[0.9928479,0.0004619384,0.0005493261,0.0001748988,0.004624744,0.001341156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000685432,0.00005621346,0.9179244,0.0001307167,0.00004155828,0.00006180262,0.002693944,0.0002360737,0.000134615,0.001530999,0.01466411,0.06245715],"study_design_scores_gemma":[0.000003089293,0.00001460119,0.9909107,0.00006881349,0.00001200022,0.00001195138,0.003051665,0.0002461938,0.00005827858,0.0000866963,0.00552952,0.00000654924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981255,0.004320387,0.001285643,0.01013763,0.000196744,0.0003391517,0.04294547,0.000129725,0.0425197],"genre_scores_gemma":[0.9797884,0.001613548,0.001304622,0.000295715,0.0000210866,0.0001249083,0.004648161,0.00002510623,0.01217834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02896428,"threshold_uncertainty_score":0.2101516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177553643951797,"score_gpt":0.2456348268149617,"score_spread":0.2338592903754437,"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."}}