{"id":"W1656910747","doi":"10.1163/cl-2012-056","title":"Carbon capture and storage in the CDM: Finding its place among climate mitigation options?","year":2012,"lang":"en","type":"article","venue":"Climate Law","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Negotiation; Carbon capture and storage (timeline); Climate change mitigation; Climate change; State (computer science); International law; Clean Development Mechanism; Carbon fibers; Environmental planning; Environmental protection; Range (aeronautics); Environmental science; Business; Environmental resource management; Natural resource economics; Political science; Engineering; Computer science; Economics; Ecology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003581825,0.0005841077,0.001017159,0.001667708,0.004556763,0.01346361,0.001563582,0.004938782,0.005876875],"category_scores_gemma":[0.01194843,0.0003461221,0.0003937999,0.002342835,0.009985309,0.01262931,0.003607843,0.003824887,0.000466834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007836675,"about_ca_system_score_gemma":0.00611654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411023,"about_ca_topic_score_gemma":0.02772395,"domain_scores_codex":[0.9976841,0.0008508155,0.00009529213,0.000389421,0.0005297075,0.0004505849],"domain_scores_gemma":[0.9974198,0.001508905,0.0003469827,0.0001833867,0.0003759099,0.000164999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001107454,0.00002532393,0.00106254,0.0001149745,0.00001026548,0.0003156895,0.0007428647,0.002814368,0.0004933371,0.9708564,0.00207358,0.02137991],"study_design_scores_gemma":[0.00006425146,0.00005690009,0.002427709,0.0005772965,0.00002095099,0.0002514599,0.007180283,0.006165233,0.002081074,0.8574854,0.123599,0.00009034746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3078903,0.04278872,0.03164362,0.1615904,0.001731482,0.0001082205,0.0002799502,0.00006973729,0.4538975],"genre_scores_gemma":[0.9816589,0.004289682,0.003036183,0.002179647,0.0001245481,0.00004858293,0.00002339627,0.00001668345,0.00862242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02411023,"threshold_uncertainty_score":0.05685925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06813691738347309,"score_gpt":0.2570256561426488,"score_spread":0.1888887387591757,"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."}}