{"id":"W7028561297","doi":"","title":"Fiscal Fairness: How Equalization Failed Alberta in Its Time of Need and How to Fix It","year":2024,"lang":"en","type":"report","venue":"QSpace (Queen's University Library)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equalization (audio); Noise (video); Term (time)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001681772,0.0004208746,0.0007184247,0.001663503,0.00008683725,0.0002745077,0.001906816,0.0005819612,0.00003227181],"category_scores_gemma":[0.0003933728,0.0004839123,0.0001292108,0.002057459,0.0001359121,0.001724896,0.00273459,0.0005058677,0.00005155044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339876,"about_ca_system_score_gemma":0.0008096634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111036,"about_ca_topic_score_gemma":0.000122395,"domain_scores_codex":[0.9976223,0.0001708106,0.0001950133,0.0009623148,0.0006491213,0.0004004447],"domain_scores_gemma":[0.9982109,0.0002843238,0.0003119405,0.0008857548,0.0001506339,0.0001564192],"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":[0.00001545578,0.00003553815,0.0009441524,0.0004375726,0.0000620972,0.0003180528,0.001386654,0.00008749847,0.00002352675,0.00651222,0.9893259,0.0008513402],"study_design_scores_gemma":[0.0003480026,0.0002276178,0.001078222,0.001152317,0.00006014583,0.000003451569,0.0004908144,0.001419961,0.001261673,0.0005164341,0.992531,0.0009103384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01869074,0.0003276706,0.04058624,0.9011688,0.001252461,0.001297969,0.0000721513,0.002427402,0.03417659],"genre_scores_gemma":[0.2898212,0.0003255991,0.01989256,0.0001616611,0.00008839458,0.000002702675,0.00008220849,0.00009269416,0.689533],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9010071,"threshold_uncertainty_score":0.9997613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347582250540653,"score_gpt":0.2039351439731368,"score_spread":0.1904593214677302,"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."}}