{"id":"W2001826774","doi":"10.1038/nclimate1335","title":"Valuing temporary carbon storage","year":2011,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Carbon capture and storage (timeline); Environmental science; Carbon fibers; Natural resource economics; Climate change; Business; Computer science; Economics; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007520629,0.0002856407,0.0004996957,0.0003592101,0.000133185,0.0000495338,0.000354492,0.000537648,0.001052572],"category_scores_gemma":[0.00006895298,0.0003390079,0.0001658919,0.000236457,0.00005942892,0.0003892947,0.0001888262,0.0005761179,0.000786887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495311,"about_ca_system_score_gemma":0.000005964048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006130998,"about_ca_topic_score_gemma":0.000108113,"domain_scores_codex":[0.9981289,0.00001812036,0.0005543245,0.0005793506,0.00003595248,0.0006833855],"domain_scores_gemma":[0.9988667,0.00003905132,0.0003808736,0.0005278306,0.00002468587,0.0001608641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001592186,0.0004283861,0.4524941,0.0004931032,0.0001370534,0.0001221554,0.01965065,0.000001121399,0.00007636696,0.5227212,0.001997434,0.001719196],"study_design_scores_gemma":[0.005978156,0.0008714496,0.5489915,0.000593044,0.0001337633,0.0001860858,0.004836692,0.009937631,0.002576169,0.2293269,0.1895107,0.007057828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6631718,0.009995412,0.00001122999,0.0007015121,0.002371757,0.0004067864,0.0007564553,0.000219244,0.3223658],"genre_scores_gemma":[0.9936544,0.002380324,0.0002957671,0.002107213,0.001137676,0.0000957657,0.00007910221,0.00008174648,0.0001679711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3304827,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1921587332462464,"score_gpt":0.2631374703074372,"score_spread":0.07097873706119073,"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."}}