{"id":"W4386971219","doi":"10.1115/omae2023-105315","title":"Investigation of the Relation Between Coring Parameters and Formation Representation","year":2023,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Coring; Characterization (materials science); Drilling; Core (optical fiber); Geology; Scale (ratio); Representation (politics); Materials science; Petroleum engineering; Geotechnical engineering; Computer science; Composite material; Metallurgy; Physics; Law","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":[0.0005432713,0.0003175603,0.0002813168,0.0003996135,0.0001305072,0.000480981,0.0002953942,0.0002304335,0.0008447977],"category_scores_gemma":[0.001897968,0.0001422412,0.0001596645,0.0004677191,0.0002262054,0.0003227293,0.0002476646,0.0002643878,0.0001507684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959637,"about_ca_system_score_gemma":0.0001658497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009297321,"about_ca_topic_score_gemma":0.00213504,"domain_scores_codex":[0.9994258,0.00006606158,0.00005345919,0.0001124632,0.0002800545,0.00006215774],"domain_scores_gemma":[0.9983402,0.0005790247,0.0003616845,0.0001736124,0.0004850614,0.00006033668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003771297,0.00006465831,0.02806165,0.0001884788,0.00003459102,0.0001139826,0.0001091761,0.007526563,0.9388192,0.00007029298,0.00008117367,0.02455315],"study_design_scores_gemma":[0.000008561547,0.001149031,0.1054296,0.00001673267,0.00006136184,0.0001843671,0.0002490842,0.01457695,0.8764802,0.00007099638,0.00173916,0.0000339459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952757,0.0002151651,0.003510935,0.00001232039,0.000005463756,0.00001490515,0.000111512,0.00008199594,0.0007718524],"genre_scores_gemma":[0.9985347,0.00005000652,0.001139446,0.000004301117,7.186565e-7,0.000004200248,0.00005183204,0.00001008235,0.0002047602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009297321,"threshold_uncertainty_score":0.002873123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852350385394541,"score_gpt":0.2161861978450452,"score_spread":0.1776626939910998,"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."}}