{"id":"W4385418236","doi":"10.1163/9789004322714_cclc_2020-0063-0371","title":"MANITOBA CONSERVATION AND CLIMATE ENFORCEMENT UPDATE: November","year":2023,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Enforcement; Geography; Environmental science; Political science; Law","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":[0.00187911,0.00162472,0.001335204,0.007968137,0.001568192,0.003467239,0.00294434,0.001574821,0.1142396],"category_scores_gemma":[0.01288028,0.001248392,0.001234576,0.02150491,0.0004578577,0.001444884,0.001936516,0.001989226,0.07436232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007547251,"about_ca_system_score_gemma":0.02144822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6618745,"about_ca_topic_score_gemma":0.7602706,"domain_scores_codex":[0.9986095,0.0001450777,0.0001656941,0.0002013836,0.0005870614,0.0002912099],"domain_scores_gemma":[0.9897577,0.001303916,0.0007573923,0.001203477,0.006027917,0.000949692],"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":[0.00002176382,0.00000853393,0.001004791,0.0001191526,0.00001265281,0.000006734432,0.00001220747,0.00009018635,0.000009972627,0.00016653,0.9970922,0.001455219],"study_design_scores_gemma":[0.0001234912,0.000007525498,0.01986142,0.000420512,0.00003339275,0.00001921718,0.0001542073,0.0003331328,0.0001518272,0.0006869875,0.9781822,0.00002618678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008674483,0.00004349749,0.00002107727,0.0001277524,0.00003183286,0.000008179635,0.9984719,0.00008261013,0.001126384],"genre_scores_gemma":[0.0006956162,0.0001286486,0.0001835521,0.0001253137,0.00001498543,0.0001094542,0.9929377,0.00008153167,0.005723145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3381255,"threshold_uncertainty_score":0.6802336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190294124674631,"score_gpt":0.2534850020377467,"score_spread":0.2115820607910003,"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."}}