{"id":"W2154168681","doi":"10.5897/ajest11.392","title":"An insight into environmental laws in Canada","year":2013,"lang":"en","type":"article","venue":"African Journal of Environmental Science and Technology","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Legislation; Legislature; Environmental law; Government (linguistics); Business; Law enforcement; Public administration; Wildlife; Environmental compliance; Environmental planning; Environmental protection; Political science; Law; Ecology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001594318,0.0004137998,0.0003005482,0.005375163,0.01874162,0.009520885,0.001677324,0.00232714,0.01435617],"category_scores_gemma":[0.005154138,0.0004638945,0.0004930466,0.01162085,0.005099269,0.002292676,0.001923055,0.003292264,0.001067449],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2164508,"about_ca_system_score_gemma":0.33163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973201,"about_ca_topic_score_gemma":0.9984333,"domain_scores_codex":[0.9952368,0.0002193698,0.0001694524,0.0002955387,0.002428101,0.001650739],"domain_scores_gemma":[0.994224,0.0007701006,0.0002297159,0.00007748127,0.003862038,0.0008366964],"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":[0.00001940119,0.00007792551,0.0137285,0.0004242407,0.00001435678,0.00151289,0.02328929,0.0009062684,0.000441505,0.4187211,0.4501698,0.09069467],"study_design_scores_gemma":[0.000002503388,0.000005281397,0.01312418,0.0002847489,0.00000698494,0.00008936044,0.00869603,0.0002028529,0.00009232973,0.00250556,0.9749547,0.0000353814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03372654,0.04331709,0.001542465,0.1214136,0.002454842,0.00028378,0.004414441,0.0002223325,0.7926248],"genre_scores_gemma":[0.4028385,0.07543643,0.004435304,0.05989685,0.0004998135,0.0001956686,0.003187169,0.0002248214,0.4532855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2164508,"threshold_uncertainty_score":0.9088061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005752899179285244,"score_gpt":0.2190693575810914,"score_spread":0.2133164584018062,"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."}}