{"id":"W4405981644","doi":"10.1007/978-3-031-81673-4_6","title":"Prediction of ROP-Increasement and Lost Circulation Prevention Effect by Drilling Fluid Based on GS-XGBoost","year":2025,"lang":"en","type":"book-chapter","venue":"Mechanisms and machine science","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Circulation (fluid dynamics); Petroleum engineering; Drilling; Drilling fluid; Geology; Engineering; Mechanics; Mechanical engineering; 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":[0.0005467252,0.0002543307,0.0002547083,0.0002887746,0.000112259,0.00004637018,0.00008895734,0.0001126019,0.00002189849],"category_scores_gemma":[0.00002149167,0.000244224,0.00004833338,0.00007813417,0.00005400067,0.00009306995,0.00003510236,0.0001582083,0.000001720105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007068116,"about_ca_system_score_gemma":0.00002366557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000016534,"about_ca_topic_score_gemma":0.000001946293,"domain_scores_codex":[0.9989071,0.000008534783,0.0002401039,0.0003455815,0.0003280201,0.0001706252],"domain_scores_gemma":[0.9995859,0.00004663436,0.00005944112,0.0001884137,0.00003464155,0.0000849842],"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":[0.00005254288,0.00003901778,0.00006254038,0.00238856,0.0001002721,0.000005505235,0.00009416242,0.5534828,0.280541,0.06098032,0.0002498214,0.1020034],"study_design_scores_gemma":[0.0003190281,0.0002434547,0.00005214686,0.0009107015,0.00007229584,0.000002273465,0.000001294603,0.9759986,0.01988891,0.001470856,0.0008409467,0.0001994436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002853337,0.001203586,0.9561482,0.00001715402,0.0007937609,0.0006179544,0.0002041109,0.0002173552,0.03794453],"genre_scores_gemma":[0.9927611,0.0004213579,0.001774293,0.00001645197,0.00004774856,0.00001126818,0.0001067623,0.00004355291,0.004817503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9899077,"threshold_uncertainty_score":0.9959167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005800270364720911,"score_gpt":0.1822551636201615,"score_spread":0.1764548932554406,"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."}}