{"id":"W4412872200","doi":"10.70382/tijert.v08i5.006","title":"AI-DRIVEN DRILLING OPTIMIZATION AND REAL-TIME DATA ANALYSIS","year":2025,"lang":"en","type":"article","venue":"International Journal of Engineering Research and Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Computer science; Petroleum engineering; Geology; Real-time computing; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002950048,0.0008959088,0.0008103819,0.001048134,0.0003958266,0.002120978,0.001164296,0.0009782992,0.001403741],"category_scores_gemma":[0.01047279,0.0005197295,0.0006141373,0.001162114,0.001069649,0.001914709,0.0009830208,0.001565058,0.0002420043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242064,"about_ca_system_score_gemma":0.002386117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144704,"about_ca_topic_score_gemma":0.008641195,"domain_scores_codex":[0.9987608,0.0005246059,0.0000757142,0.0002510953,0.0002893962,0.00009828431],"domain_scores_gemma":[0.9918219,0.006346906,0.0005891615,0.0003391197,0.0007488809,0.0001539691],"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":[0.00006503383,0.00006539586,0.002120955,0.0001036354,0.00005767066,0.00006529596,0.00005894039,0.9573853,0.0007405796,0.007547338,0.0009789772,0.03081092],"study_design_scores_gemma":[0.000002859903,0.00001156902,0.0001946622,0.00000586125,0.000003183195,0.000006922897,0.00001898013,0.9938887,0.0002419198,0.005219905,0.0004018983,0.000003483556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05927953,0.0009509944,0.9307265,0.002299561,0.0001518228,0.0001103748,0.0004025875,0.0007992662,0.005279339],"genre_scores_gemma":[0.8570549,0.000545543,0.1393318,0.0002996216,0.0001188798,0.0001377576,0.0005897275,0.00009000224,0.001831655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01144704,"threshold_uncertainty_score":0.02276081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409110421854661,"score_gpt":0.3090165042726641,"score_spread":0.2949254000541175,"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."}}