{"id":"W4311607469","doi":"10.1163/9789004322714_cclc_2020-0063-0355","title":"MANITOBA CONSERVATION AND CLIMATE ENFORCEMENT UPDATE: October","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Enforcement; Environmental science; Geography; Ecology; Biology","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":[],"category_scores_codex":[0.000279831,0.0004350975,0.0004718342,0.0002044949,0.001120755,0.000166768,0.0001270109,0.0003202175,0.0105383],"category_scores_gemma":[0.000008765154,0.0003990582,0.0001007765,0.000403101,0.00009264896,0.0002474587,0.0003762486,0.0003105069,0.00004035254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145486,"about_ca_system_score_gemma":0.000007387904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02505515,"about_ca_topic_score_gemma":0.116634,"domain_scores_codex":[0.9979436,0.0001577058,0.0004261487,0.0006723338,0.0003403861,0.000459824],"domain_scores_gemma":[0.9990474,0.00004923171,0.0003663658,0.0003855912,0.00003598557,0.0001154023],"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":[0.00007870895,0.00009756043,0.0001150915,0.0002830811,0.0001781517,0.00002340188,0.00009526552,0.00004311208,0.00005116297,0.005231109,0.9933437,0.0004596755],"study_design_scores_gemma":[0.0004950702,0.0001593925,0.0004665618,0.00004221606,0.0006058235,0.00003065998,0.0003544596,0.0001109223,0.00004670774,0.00007299772,0.9971584,0.0004567558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005597744,0.002575605,0.000002222121,0.000608666,0.001052124,0.0009348061,0.9846601,0.0001572979,0.00441137],"genre_scores_gemma":[0.0007339056,0.08007076,0.00001809772,0.002543338,0.0004531546,0.0007160928,0.9151388,0.00003891786,0.0002869455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09157888,"threshold_uncertainty_score":0.9998461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591848738839969,"score_gpt":0.2319766266101921,"score_spread":0.2060581392217924,"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."}}