{"id":"W2032308416","doi":"10.1016/j.ijggc.2014.04.026","title":"A risk-based framework for measurement, monitoring and verification of the Quest CCS Project, Alberta, Canada","year":2014,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Containment (computer programming); Environmental science; Risk analysis (engineering); Engineering; Waste management; Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01064784,0.001276152,0.0007385528,0.005756127,0.00230514,0.006925176,0.004106814,0.001698304,0.002469842],"category_scores_gemma":[0.01360891,0.0006006889,0.0007222928,0.003152603,0.00354019,0.001969871,0.002801742,0.0012816,0.0002656519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04342506,"about_ca_system_score_gemma":0.06891154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9375895,"about_ca_topic_score_gemma":0.9228302,"domain_scores_codex":[0.9947765,0.001337937,0.0002603419,0.0005296214,0.002337341,0.0007582514],"domain_scores_gemma":[0.9918937,0.001881216,0.0007957424,0.0003879798,0.004561611,0.0004796655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007883096,0.00008063199,0.01922151,0.000087359,0.00009264627,0.0003063221,0.0004394327,0.6800238,0.0007277796,0.2566145,0.006852504,0.03547474],"study_design_scores_gemma":[0.00002308466,0.0000453479,0.0114127,0.0001458344,0.00008230567,0.000100165,0.0008979631,0.8615976,0.0008494089,0.1102704,0.01448293,0.00009230641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1440718,0.002568929,0.7447817,0.009902857,0.000101037,0.001145531,0.007160487,0.001275306,0.08899239],"genre_scores_gemma":[0.8754072,0.0006395133,0.1114571,0.0001938192,0.00002695542,0.0002047117,0.002003268,0.00006909879,0.009998445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06241047,"threshold_uncertainty_score":0.3150724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142742398241429,"score_gpt":0.252313163501233,"score_spread":0.2380389236770901,"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."}}