{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004547723,0.0004158101,0.00038176,0.0001440734,0.0009803715,0.0002089683,0.0001243317,0.0003289864,0.001034265],"category_scores_gemma":[0.0000155398,0.0004106583,0.0000497077,0.0004680344,0.000186039,0.0003265,0.0007892753,0.000230357,0.001144772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654658,"about_ca_system_score_gemma":0.00001036333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01584042,"about_ca_topic_score_gemma":0.0678122,"domain_scores_codex":[0.9978142,0.0000579215,0.0004015391,0.0006827927,0.0003434046,0.0007001266],"domain_scores_gemma":[0.9992482,0.00005806183,0.0002174346,0.0002889701,0.00002938013,0.0001579724],"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":[0.00005246423,0.00004819311,0.001001131,0.0005131932,0.00002215097,0.00005359543,0.0002521601,9.808711e-7,0.00001233346,0.0001718331,0.9971991,0.0006729257],"study_design_scores_gemma":[0.000540152,0.0001332393,0.003173693,0.0001347518,0.00009801496,0.00004406201,0.0009493898,0.0001608358,0.00001734132,0.0001391398,0.994109,0.0005004172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02121899,0.0004244845,0.00000184391,0.001288515,0.00151454,0.002339699,0.969683,0.0002304914,0.003298417],"genre_scores_gemma":[0.00048107,0.06087682,0.00003346261,0.00368165,0.0003176796,0.0008535595,0.9332362,0.00006242717,0.0004570863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06045234,"threshold_uncertainty_score":0.9998789,"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."}}