{"id":"W4213036223","doi":"10.1163/9789004322714_cclc_2018-0051-021","title":"Statement in response to Ontario’s Financial Accountability Office’s report on the costs of cancelling cap-and-trade","year":2019,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statement (logic); Accountability; Business; Financial statement; Accounting; Finance; Political science; Law; Audit","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":[],"consensus_categories":[],"category_scores_codex":[0.001684462,0.0001305541,0.0002370125,0.00008900939,0.000412008,0.00005166417,0.00009868213,0.000170941,0.00007768782],"category_scores_gemma":[0.0002221879,0.0001166472,0.00003221035,0.0002689246,0.0001240194,0.00007679498,0.00003671682,0.0002238629,0.000003845338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411304,"about_ca_system_score_gemma":0.0005548475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9563117,"about_ca_topic_score_gemma":0.9974672,"domain_scores_codex":[0.9986765,0.0002105068,0.0002890536,0.0002981844,0.0002460801,0.0002797037],"domain_scores_gemma":[0.9991637,0.0002652094,0.0002346711,0.000225495,0.00003227851,0.00007864166],"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":[0.0008247062,0.00003882759,0.0003108263,0.00006722504,0.000005321895,0.000023108,0.008890058,0.000002894396,0.000004274542,0.0006372338,0.9891024,0.00009315266],"study_design_scores_gemma":[0.0001590361,0.0001114773,0.01705473,0.0002116334,0.00001405403,0.000002247685,0.0003336808,0.000001154922,0.000006605024,0.00003206564,0.9819502,0.0001231632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2858857,0.0001226216,1.690183e-7,0.005209791,0.0006407697,0.00139877,0.706239,0.000005298431,0.0004978533],"genre_scores_gemma":[0.6181905,0.02270573,0.00002469538,0.04462279,0.003537162,0.002508964,0.2975077,0.0001080019,0.01079445],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4087314,"threshold_uncertainty_score":0.4756736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399125602294514,"score_gpt":0.3315278882268986,"score_spread":0.2575366322039535,"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."}}