{"id":"W4414666912","doi":"10.1163/9789004322714_cclc_2022-0220-0812","title":"THE LEGAL FRAMEWORK FOR CARBON DIOXIDE REMOVAL IN CANADA","year":2025,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carbon dioxide; Carbon dioxide removal; Work (physics); Air pollution; Government (linguistics)","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":[0.002777097,0.001178719,0.001598979,0.007322844,0.003226112,0.005292739,0.003684921,0.002173792,0.02873336],"category_scores_gemma":[0.01817889,0.00108588,0.001838949,0.0218435,0.0008765499,0.001267715,0.001971286,0.003278779,0.009823792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04793372,"about_ca_system_score_gemma":0.1127279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916121,"about_ca_topic_score_gemma":0.9931775,"domain_scores_codex":[0.9965612,0.0003061313,0.0003104176,0.0004196675,0.001421627,0.0009808793],"domain_scores_gemma":[0.9843455,0.00212731,0.00105848,0.001309164,0.01000927,0.001150403],"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":[0.0000462577,0.00002392136,0.004493557,0.0003643846,0.00004878621,0.00002213489,0.00007421811,0.001021468,0.00002461376,0.00425228,0.986499,0.003129468],"study_design_scores_gemma":[0.0001720924,0.000008668395,0.05887956,0.000967294,0.0000857551,0.0000359173,0.0004177869,0.002186445,0.000269418,0.00227174,0.9346248,0.00008056498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006261973,0.000167289,0.00005484508,0.0003321968,0.00002240416,0.0000218456,0.9963759,0.00005890969,0.002340396],"genre_scores_gemma":[0.0056165,0.000405521,0.0004480542,0.0002557987,0.0000153028,0.0001569132,0.9890326,0.00006015789,0.004009184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04793372,"threshold_uncertainty_score":0.3477851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969429133481901,"score_gpt":0.2922035614275063,"score_spread":0.2625092700926873,"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."}}