{"id":"W4255661180","doi":"10.1093/yiel/yvy053","title":"2. Canada","year":2017,"lang":"en","type":"article","venue":"Yearbook of International Environmental Law","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Repeal; Environmental law; Government (linguistics); Legislature; Environmental protection; Public participation; Environmental pollution; Business; Public administration; Environmental impact assessment; Indigenous; Environmental planning; Greenhouse gas; Political science; Law; Geography; Ecology","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":[0.00004640972,0.0001012245,0.00009153794,0.000006335495,0.0002315123,0.00002145815,0.0006179948,0.00003198246,0.01185173],"category_scores_gemma":[0.000009087328,0.00009631789,0.00004966578,0.000005204352,0.0005248976,0.000193022,0.0005628835,0.00007140163,0.00027624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134736,"about_ca_system_score_gemma":0.000009946891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5764967,"about_ca_topic_score_gemma":0.1429882,"domain_scores_codex":[0.9990699,0.000006946208,0.0001654643,0.0001766844,0.000429977,0.000151009],"domain_scores_gemma":[0.9993565,0.0000118371,0.0001448488,0.0003919226,5.91663e-7,0.00009428671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008672252,0.0005768426,0.6122603,0.000009170284,0.0001577066,0.00007922408,0.0001901495,0.001807624,0.2639143,0.02771637,0.08366936,0.009532141],"study_design_scores_gemma":[0.0002535321,0.00002036598,0.3689041,0.000009392586,0.000006387057,0.000006945521,0.0000301866,0.0001431277,0.01722858,0.0003189248,0.612935,0.0001434574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3829601,0.00001541245,0.000008712928,0.001119817,0.0002739919,0.00007808026,0.0001104567,0.000006220245,0.6154272],"genre_scores_gemma":[0.989373,0.00003452022,0.000293933,0.0007195149,0.00005339926,0.000004835896,0.00001442682,0.00001191198,0.009494405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6064129,"threshold_uncertainty_score":0.9890516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004861865814288315,"score_gpt":0.2004641927528951,"score_spread":0.1956023269386068,"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."}}