{"id":"W7010324383","doi":"","title":"The Impact of Legislative Reforms to Canadian Federalism on Torontoâs Ability to Reduce Poverty","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Government (linguistics); Legislature; Corporate governance; Federalism; Order (exchange); Socioeconomic status","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":[0.006707929,0.0003048975,0.0003789672,0.002074099,0.02521151,0.007735746,0.002212722,0.002204721,0.006248296],"category_scores_gemma":[0.02084745,0.0004850007,0.000645529,0.003683073,0.007377668,0.00127781,0.004135861,0.003523998,0.0002626732],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.3080674,"about_ca_system_score_gemma":0.400726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972519,"about_ca_topic_score_gemma":0.9990147,"domain_scores_codex":[0.9865589,0.001577973,0.0002433768,0.0005558098,0.004419235,0.00664477],"domain_scores_gemma":[0.9817363,0.002245491,0.0009949387,0.000627599,0.009115181,0.005280556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004507233,0.0001786562,0.08417374,0.0005791084,0.0001938613,0.000870026,0.05317809,0.004905639,0.002357012,0.5356085,0.2266656,0.09083916],"study_design_scores_gemma":[0.0001178554,0.0001098513,0.2332222,0.0003726046,0.0001691767,0.00009298736,0.03091062,0.001684353,0.001260216,0.006754036,0.7251194,0.0001866554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4194613,0.008995729,0.001867014,0.2669019,0.001207183,0.0003806861,0.001675063,0.0002221013,0.2992891],"genre_scores_gemma":[0.9465854,0.002508699,0.001112457,0.01353032,0.0001384233,0.00008372343,0.0002900578,0.0000431636,0.03570766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3080674,"threshold_uncertainty_score":0.8025438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082714856749556,"score_gpt":0.2712797748328686,"score_spread":0.240452626265373,"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."}}