{"id":"W7006383545","doi":"","title":"TORONTO’S FISCAL OUTLOOK: 2011 THROUGH 2014","year":2010,"lang":"en","type":"report","venue":"TSpace (University of Toronto)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Taxpayer; Liberian dollar; Corporate governance; Debt; Government (linguistics); Property tax; Tax revenue","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":[0.0009381952,0.0008653979,0.0004122375,0.00312101,0.003215595,0.005151098,0.0008558272,0.0009092357,0.1268003],"category_scores_gemma":[0.003982567,0.000503113,0.000371548,0.006849264,0.0004021174,0.001381946,0.001724835,0.00184342,0.0612744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0331642,"about_ca_system_score_gemma":0.04839499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8778475,"about_ca_topic_score_gemma":0.9490901,"domain_scores_codex":[0.9984258,0.00004697959,0.00008392078,0.0001186886,0.0009334077,0.000391175],"domain_scores_gemma":[0.9965054,0.00006757335,0.0001918763,0.00008282396,0.00230722,0.0008451759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001589144,0.000003365811,0.0006586182,0.00006999372,0.000002569576,0.0000137005,0.00004958539,0.00005100346,0.0000140399,0.001117226,0.9918219,0.006182093],"study_design_scores_gemma":[0.000007719731,0.000004832092,0.01252146,0.00009805425,0.000004056162,0.00001172326,0.0002581922,0.00006019204,0.00004695658,0.0001254835,0.9868507,0.00001064196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005347485,0.005048512,0.0003386506,0.01654326,0.00496951,0.00018468,0.5818459,0.001265489,0.3844565],"genre_scores_gemma":[0.02731166,0.00827812,0.0007933535,0.002132145,0.000756646,0.0001891825,0.3401152,0.0004754633,0.6199483],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1268003,"threshold_uncertainty_score":0.4241891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308119184829952,"score_gpt":0.2807761706649608,"score_spread":0.2499642521819656,"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."}}