{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565002,0.001814102,0.001227212,0.007206598,0.001466673,0.003236708,0.002817622,0.00151307,0.08056216],"category_scores_gemma":[0.0103316,0.001180178,0.001211387,0.01733102,0.0004440086,0.001290282,0.001652511,0.001874216,0.06126243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006910249,"about_ca_system_score_gemma":0.01716972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6846613,"about_ca_topic_score_gemma":0.7897376,"domain_scores_codex":[0.9988866,0.0001170714,0.0001197691,0.0001779972,0.0004492501,0.0002492618],"domain_scores_gemma":[0.9922978,0.0008730079,0.0005575883,0.0009665192,0.004594957,0.0007101293],"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":[0.00002672861,0.00001080549,0.001535774,0.000122863,0.00001573425,0.000008232783,0.00001392659,0.0001344511,0.00001442541,0.000176734,0.9963614,0.001578902],"study_design_scores_gemma":[0.0001277581,0.000009239983,0.02779267,0.0003969309,0.00003564436,0.00002490593,0.0001877469,0.0005333903,0.0001959409,0.0006698145,0.9699953,0.00003043676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001135488,0.00004468751,0.00002316711,0.0001122522,0.0000300516,0.000007341811,0.9986793,0.0000998223,0.0008897854],"genre_scores_gemma":[0.0007385162,0.0001002882,0.0001815927,0.00009428419,0.00001256558,0.00008084991,0.9945394,0.00007158153,0.004180828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3153387,"threshold_uncertainty_score":0.6343917,"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."}}