{"id":"W4312062802","doi":"10.2118/205953-pa","title":"Generalized Models for the Field Assessment of Drilling Fluid Viscoelasticity","year":2022,"lang":"en","type":"article","venue":"SPE Drilling & Completion","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rheometer; Viscoelasticity; Drilling fluid; Rheology; Viscometer; Elasticity (physics); Mechanics; Drilling; Materials science; Petroleum engineering; Mechanical engineering; Geology; Viscosity; Engineering; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004316827,0.0001732339,0.0002593419,0.00009861646,0.000324536,0.00003104188,0.0002374056,0.00004073188,0.00007411827],"category_scores_gemma":[0.00003579819,0.0001611159,0.0001556495,0.0001932274,0.00001784546,0.00006949211,0.00006003569,0.0002366676,0.000001168954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087677,"about_ca_system_score_gemma":0.00001823688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004976662,"about_ca_topic_score_gemma":0.000004794611,"domain_scores_codex":[0.9988322,0.00003013154,0.0003650311,0.0001921224,0.0002964615,0.0002840557],"domain_scores_gemma":[0.9989169,0.0006502269,0.00006291734,0.0002705762,0.0000575316,0.00004183051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001103931,0.00001392146,0.00004479673,0.00007155399,0.00005666511,4.499234e-7,0.0001196184,0.9800338,0.01050732,0.007793573,0.0005388483,0.000808475],"study_design_scores_gemma":[0.0003377798,0.00007375216,0.0001012592,0.00002778363,0.00004550879,0.000002707128,0.00005038338,0.9852929,0.00335907,0.001484685,0.009040237,0.0001839285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05427974,0.0004149374,0.94269,0.0001432922,0.001282299,0.0003219073,0.00004123678,0.0002370956,0.0005894469],"genre_scores_gemma":[0.986268,0.0001413993,0.01302263,0.00007001591,0.0002414581,0.0001135661,0.00005849245,0.00005073264,0.000033704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9319882,"threshold_uncertainty_score":0.6570116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238898809535123,"score_gpt":0.2580272850807587,"score_spread":0.2356382969854074,"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."}}