{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633839,0.0001105944,0.000165899,0.000042697,0.001119455,0.00008969221,0.0001413773,0.0001927563,0.000006045523],"category_scores_gemma":[0.0002220685,0.0001021017,0.00003233076,0.0003409818,0.00009382131,0.00004934064,0.00002925722,0.0002200132,1.147448e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133654,"about_ca_system_score_gemma":0.001295987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995716,"about_ca_topic_score_gemma":0.9999858,"domain_scores_codex":[0.9990436,0.00007574375,0.0001448672,0.0001951836,0.0001514327,0.0003891829],"domain_scores_gemma":[0.9992692,0.0003841509,0.0001004856,0.0001458519,0.00003047711,0.00006976555],"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":[0.0000263532,0.000003061751,0.000006628999,0.00005565025,0.000005775215,0.00001107787,0.0002113175,1.022829e-7,6.774481e-8,0.03438596,0.964954,0.0003400721],"study_design_scores_gemma":[0.0001018802,0.00001403047,0.00006052482,0.0001495953,0.00001715669,0.000001516573,0.0003272099,0.000006846024,0.000001532367,0.001302006,0.9979054,0.000112344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002629206,0.001392218,3.475669e-7,0.008569663,0.001695023,0.0006642002,0.9839346,0.000006744153,0.003474315],"genre_scores_gemma":[0.003450609,0.1571058,0.00007341853,0.03332754,0.01399369,0.003488968,0.7605624,0.00006369289,0.02793386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2233722,"threshold_uncertainty_score":0.8610056,"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."}}