{"id":"W4385417916","doi":"10.1163/9789004322714_cclc_2020-0051-0273","title":"THE LOGGING LOOPHOLE: HOW THE LOGGING INDUSTRY’S UNREGULATED CARBON EMISSIONS UNDERMINE CANADA’S CLIMATE GOALS","year":2023,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Logging; Natural resource economics; Climate change; Greenhouse gas; Business; Environmental science; Environmental resource management; Forestry; Geography; Ecology; Economics","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":[0.001101285,0.001154708,0.0007918955,0.003166376,0.001631833,0.002933706,0.002768641,0.001930932,0.02811403],"category_scores_gemma":[0.007084095,0.0006149574,0.001236434,0.007958828,0.0006241468,0.001162112,0.001808916,0.002222287,0.01602543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021561,"about_ca_system_score_gemma":0.01861912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9187113,"about_ca_topic_score_gemma":0.9571325,"domain_scores_codex":[0.9991261,0.00009365337,0.00005812048,0.0001354739,0.0003316345,0.0002549757],"domain_scores_gemma":[0.9957181,0.0007153556,0.0003234203,0.0004897859,0.002249939,0.0005033974],"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":[0.00003050437,0.000009810409,0.001598104,0.0001971058,0.00001823802,0.00001665776,0.00003743521,0.0002836697,0.0000297728,0.0008015389,0.9957669,0.001210393],"study_design_scores_gemma":[0.0002314045,0.000008926182,0.02491095,0.000565137,0.00004791194,0.00003611058,0.0004865647,0.001367952,0.000300334,0.001720559,0.9702749,0.0000492387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003463945,0.00007118111,0.00002483753,0.0003045586,0.00002658452,0.000005549396,0.9981834,0.00006620506,0.0009711418],"genre_scores_gemma":[0.002449874,0.0001272856,0.0002073688,0.0001460523,0.00001032334,0.00004061508,0.994926,0.00005122123,0.002041257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0812887,"threshold_uncertainty_score":0.1635348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389837054735892,"score_gpt":0.2563500989739955,"score_spread":0.2224517284266366,"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."}}