{"id":"W4405659970","doi":"10.2139/ssrn.5061807","title":"The Quest Continues: Applying Mmv Learnings and Well Management Best Practices to Enhance Ccs Efficiency at the Quest Storage Site","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Best practice; Systems engineering; Computer science; Process management; Business; Engineering; Management; Economics","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":[0.002639205,0.0001698549,0.0002937641,0.0004315968,0.001609272,0.002998299,0.0009427884,0.000880389,0.005997708],"category_scores_gemma":[0.004358368,0.0001299349,0.0002691993,0.0005486113,0.001169221,0.002442008,0.001960991,0.001162393,0.0006049826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003542874,"about_ca_system_score_gemma":0.009132197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02877025,"about_ca_topic_score_gemma":0.1082805,"domain_scores_codex":[0.9992732,0.0003268775,0.00002419032,0.00007151699,0.0002020349,0.000102148],"domain_scores_gemma":[0.9982677,0.0005732603,0.00008282402,0.0002172703,0.00045127,0.0004076912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001371029,0.004729062,0.1255411,0.0004438259,0.0001343943,0.0008328159,0.01037731,0.08857533,0.01137018,0.09908338,0.04633589,0.6112058],"study_design_scores_gemma":[0.0004850353,0.004555519,0.1413385,0.0007846979,0.0001822202,0.0002250212,0.0440863,0.376342,0.02683186,0.1376267,0.267196,0.0003460885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8896639,0.0002055527,0.01526468,0.01282929,0.0001528375,0.0002092538,0.0004414187,0.0004807198,0.08075231],"genre_scores_gemma":[0.9764892,0.00007292086,0.01198406,0.0002342898,0.00001353834,0.0000432379,0.0001304053,0.00005779374,0.01097458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02877025,"threshold_uncertainty_score":0.05720562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007632777716020017,"score_gpt":0.2938882394712733,"score_spread":0.2862554617552533,"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."}}