{"id":"W1607053935","doi":"","title":"Unbalanced Books: How to Improve Toronto’s Fiscal Accountability","year":2010,"lang":"en","type":"article","venue":"e-briefs","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Transparency (behavior); Operating budget; Government (linguistics); Fiscal year; Capital expenditure; Public administration; Central government; Economics; Business; Local government; Accounting; Political science; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004067052,0.0001089956,0.0001438421,0.00001213483,0.0003029435,0.0001622535,0.0003653109,0.0001322055,0.00135283],"category_scores_gemma":[0.0007016135,0.0001126877,0.00006960551,0.0001027468,0.0002017512,0.0003833617,0.00004746676,0.0001879091,0.0001533184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828001,"about_ca_system_score_gemma":0.000306149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3901098,"about_ca_topic_score_gemma":0.8771571,"domain_scores_codex":[0.9987521,0.00003935437,0.0001125701,0.0002997579,0.0003119608,0.0004842204],"domain_scores_gemma":[0.9990525,0.00007440722,0.00005746333,0.0003655805,0.00005722115,0.0003928579],"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":[0.00004497361,0.00005446285,0.00341091,0.0000127852,0.00001472131,0.0000064557,0.01778054,2.947154e-7,0.0107069,0.0674235,0.8768643,0.02368021],"study_design_scores_gemma":[0.0001519393,0.00002397632,0.03924935,0.000004082,0.000003242305,4.633847e-7,0.0003443121,0.000002003655,0.0007455101,0.001007751,0.9583073,0.0001601055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792589,0.00008516324,0.00005663942,0.09178858,0.002708576,0.0006568591,0.0004788693,0.0001467457,0.2248197],"genre_scores_gemma":[0.9384814,0.000008440863,0.0002186839,0.007328911,0.001661593,0.00003268532,0.000001864178,0.00001130489,0.05225512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4870473,"threshold_uncertainty_score":0.9995601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058603659872824,"score_gpt":0.2864954177250414,"score_spread":0.2759093811263132,"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."}}