{"id":"W2102819487","doi":"10.1002/ghg.1538","title":"Phase state variations for supercritical carbon dioxide drilling","year":2015,"lang":"en","type":"article","venue":"Greenhouse Gases Science and Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Annulus (botany); Wellhead; Nozzle; Supercritical fluid; Pressure drop; Materials science; Mechanics; Phase transition; Underbalanced drilling; Drilling; Drill pipe; Critical point (mathematics); Drilling fluid; Thermodynamics; Petroleum engineering; Geology; Composite material; Physics; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003284864,0.0001145071,0.0001405743,0.0003956508,0.0001019441,0.00003633767,0.0001809754,0.00007000256,5.552945e-7],"category_scores_gemma":[0.0003425171,0.0001143499,0.00001468041,0.0007077035,0.0003130372,0.0001530344,0.00004202901,0.0001109187,0.000002743762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006317704,"about_ca_system_score_gemma":0.00006813486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002233773,"about_ca_topic_score_gemma":0.0000205802,"domain_scores_codex":[0.9990616,0.000002818476,0.0001474986,0.0002213111,0.0001556277,0.000411165],"domain_scores_gemma":[0.9994438,0.00004259492,0.000005273852,0.0001982126,0.0001604342,0.0001496931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005964424,0.0005198601,0.004020196,0.0003617725,0.0001316197,0.0001588706,0.002320555,0.1887382,0.5293103,0.07863211,0.0009105627,0.1948364],"study_design_scores_gemma":[0.001114402,0.0002713338,0.00001602191,0.00002826184,0.00002081565,0.00006612219,0.0001634936,0.9068516,0.08229857,0.005775818,0.003121082,0.0002724714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652141,0.0003364164,0.1322625,0.0002618251,0.0003053506,0.0001465046,0.0000144586,0.001170875,0.0002880216],"genre_scores_gemma":[0.9954798,0.00005191376,0.00433653,0.00001702448,0.00004429054,0.00003490871,0.000001583516,0.00002251215,0.00001148984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7181134,"threshold_uncertainty_score":0.4663055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913387102082212,"score_gpt":0.2495177787918671,"score_spread":0.230383907771045,"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."}}