{"id":"W4384665712","doi":"10.1163/9789004322714_cclc_2019-0051-278","title":"Statement from Programs Director Keith Brooks on Ontario’s appeal to the Supreme Court on federal carbon pricing","year":2023,"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":"Appeal; Supreme court; Statement (logic); Law; Political science; Law and economics; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000365399,0.0002361347,0.0002562925,0.00008723638,0.00156469,0.0003449419,0.0001781342,0.0001942601,0.00003778181],"category_scores_gemma":[0.00002932554,0.0001960223,0.00005955408,0.0003115439,0.00008528468,0.00005444069,0.00006000341,0.0003192138,0.0001063992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340985,"about_ca_system_score_gemma":0.0001690962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841434,"about_ca_topic_score_gemma":0.9986843,"domain_scores_codex":[0.998211,0.0001387916,0.0002081303,0.0004394573,0.0004564934,0.0005460737],"domain_scores_gemma":[0.9992795,0.00009964504,0.0001579651,0.0002335902,0.00003723257,0.000192066],"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":[0.00009703021,0.00004251627,0.00006466349,0.00002583527,0.00002984331,0.00001201034,0.008701446,0.000001403767,6.54607e-7,0.000259066,0.9900233,0.0007422075],"study_design_scores_gemma":[0.0002096083,0.0003818897,0.001702462,0.0003276679,0.00003480078,3.613852e-7,0.0003824153,0.000006968097,0.000004049066,0.0000574662,0.9966593,0.0002329746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02225761,0.00007900147,1.323053e-7,0.008769441,0.002446127,0.002977811,0.9576308,0.0001016734,0.005737474],"genre_scores_gemma":[0.01407535,0.004711206,0.00001143868,0.02369072,0.0120163,0.004320049,0.910341,0.000153694,0.03068021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04728969,"threshold_uncertainty_score":0.9997351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07878091192302462,"score_gpt":0.3053620374271976,"score_spread":0.226581125504173,"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."}}