{"id":"W6966975123","doi":"10.48336/ftn6-bs12","title":"Universal physics-based rate of penetration prediction model for rotary drilling","year":2022,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Drilling; Drill; Measurement while drilling; Penetration rate; Rate of penetration; Point (geometry); Performance prediction; Process (computing)","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":[0.0004519818,0.0007692259,0.0009461129,0.0005492726,0.0003301222,0.00103393,0.001553965,0.001221376,0.002245702],"category_scores_gemma":[0.001263019,0.0004737389,0.001067662,0.0004839173,0.0004660879,0.0007815288,0.0007555917,0.00142072,0.0005110656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000634327,"about_ca_system_score_gemma":0.001101345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01698831,"about_ca_topic_score_gemma":0.008325068,"domain_scores_codex":[0.9997984,0.00002645785,0.00001270166,0.00006085761,0.00006526056,0.00003629268],"domain_scores_gemma":[0.9995597,0.0002033287,0.00006871392,0.00001835109,0.0001335393,0.00001623463],"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":[0.00002154013,0.00001575087,0.0006306196,0.0000424927,0.00001336196,0.00004499386,0.00002424526,0.9909509,0.0009249665,0.001527268,0.0003577314,0.005446106],"study_design_scores_gemma":[0.000001713844,0.000005772547,0.00009432363,0.000002737102,0.000003248944,0.000005006598,0.000002016223,0.9993804,0.0001052937,0.0002412319,0.0001554062,0.000002807879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09339993,0.001584735,0.8855954,0.0004307114,0.000186698,0.0001590962,0.0007720731,0.001247121,0.01662425],"genre_scores_gemma":[0.9655263,0.0009138676,0.02483174,0.00008804975,0.00004549996,0.0002635184,0.0005399811,0.00006910788,0.007721952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01698831,"threshold_uncertainty_score":0.03377885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240396315907435,"score_gpt":0.2172703170649366,"score_spread":0.1932306854741931,"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."}}