{"id":"W2020592327","doi":"10.1016/j.egypro.2013.06.343","title":"CO2 Storage Contingencies Initiative: Detection, Intervention and Remediation of Unexpected CO2 Migration","year":2013,"lang":"en","type":"article","venue":"Energy Procedia","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Industry Canada","keywords":"Intervention (counseling); Engineering; Scale (ratio); Environmental planning; Risk analysis (engineering); Operations management; Environmental resource management; Environmental science; Business; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000864831,0.00007651286,0.0000790161,0.00003780719,0.00008178089,0.00002414756,0.00004378356,0.00005587678,0.001450879],"category_scores_gemma":[0.0001873583,0.00007167744,0.00002642713,0.0001651075,0.00009432645,0.0004395791,0.00003211319,0.00005635398,0.00003816935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005114561,"about_ca_system_score_gemma":0.00000661171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556479,"about_ca_topic_score_gemma":0.005100782,"domain_scores_codex":[0.99936,0.00005068966,0.0002205111,0.0001523693,0.0001267044,0.00008977865],"domain_scores_gemma":[0.9996101,0.00004512173,0.0001708001,0.00006884531,0.00006785028,0.0000373119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008598541,0.0004683908,0.1142661,0.00005854231,0.00007136323,0.000002560493,0.008325675,0.001683148,0.7869083,0.004347496,0.01139168,0.07239071],"study_design_scores_gemma":[0.0007158841,0.0004415233,0.735808,0.00003765029,0.00002981298,0.00001768311,0.002335988,0.02048496,0.2236807,0.003969858,0.01215508,0.0003228619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887835,0.00003409797,0.007024369,0.0002972869,0.0001551962,0.0001113074,0.000001844886,0.00004767338,0.00354471],"genre_scores_gemma":[0.9986249,0.00003063764,0.000223128,0.00008301702,0.00003829392,0.00006489176,0.0000214265,0.000004407108,0.000909275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6215418,"threshold_uncertainty_score":0.9994619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008846157694772894,"score_gpt":0.215361108658777,"score_spread":0.2065149509640041,"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."}}