{"id":"W1978009276","doi":"10.1016/j.egypro.2014.11.452","title":"Investigation of Natural Tracers for MMV at the Quest Carbon Capture and Storage Project, Alberta, Canada","year":2014,"lang":"en","type":"article","venue":"Energy Procedia","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Shell (Canada)","funders":"Government of Canada; Government of Alberta","keywords":"Carbon capture and storage (timeline); Aquifer; Environmental science; Oil sands; Brine; Groundwater; Geology; Asphalt; Climate change; Chemistry; Geotechnical engineering; Geography; Archaeology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002143608,0.0003507452,0.0002247774,0.001371248,0.002172601,0.001643194,0.0009640923,0.0004797786,0.001052396],"category_scores_gemma":[0.001063993,0.0001926552,0.0001716432,0.001820777,0.0009432359,0.0005802736,0.0005022259,0.0004758627,0.0001703113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01862585,"about_ca_system_score_gemma":0.01890977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8164468,"about_ca_topic_score_gemma":0.939374,"domain_scores_codex":[0.9986188,0.0001176077,0.00002364542,0.00009623801,0.001000361,0.0001432294],"domain_scores_gemma":[0.9990841,0.00008501924,0.00006983688,0.0000264499,0.0006730799,0.0000615418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002100092,0.0006433091,0.302527,0.001456327,0.0001712158,0.001714019,0.003761742,0.0164508,0.2850318,0.02739875,0.0216616,0.3370834],"study_design_scores_gemma":[0.0001377037,0.00157577,0.3625362,0.0006282667,0.0002249141,0.0005887854,0.007588587,0.02170007,0.3401247,0.002345966,0.2623636,0.000185402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857369,0.01004067,0.01462983,0.00187218,0.0001538758,0.0006335514,0.00518743,0.0003837004,0.08136182],"genre_scores_gemma":[0.9532793,0.005276241,0.01770148,0.0003573534,0.00001752518,0.0001118015,0.002265383,0.0001054263,0.0208855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1835532,"threshold_uncertainty_score":0.3692684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005909176580680822,"score_gpt":0.1926845167980057,"score_spread":0.1867753402173249,"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."}}