{"id":"W2168455812","doi":"10.2118/106571-ms","title":"Methods of Using Logs To Quantify Drillability","year":2007,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Lithology; Drilling; Geology; Well logging; Sonic logging; Geotechnical engineering; Mineralogy; Petroleum engineering; Petrology; Materials science","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":[0.004035925,0.001394361,0.0005987934,0.004965274,0.0003501094,0.002063189,0.001245469,0.0004408115,0.00237504],"category_scores_gemma":[0.02257729,0.000704217,0.0004995248,0.003559482,0.0005219416,0.00178615,0.000935462,0.000822901,0.001599172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783957,"about_ca_system_score_gemma":0.001129515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461543,"about_ca_topic_score_gemma":0.004684894,"domain_scores_codex":[0.9964582,0.001199219,0.0004050237,0.0005868129,0.001231051,0.0001195621],"domain_scores_gemma":[0.9854274,0.00565566,0.002610029,0.001917866,0.004200065,0.0001890832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008534638,0.000383783,0.3430557,0.001042819,0.0002904196,0.0003368664,0.0009809696,0.05031547,0.06032276,0.007730788,0.003313066,0.5313739],"study_design_scores_gemma":[0.00009062015,0.001312817,0.2492447,0.000462133,0.000222119,0.001130607,0.001607439,0.569884,0.1409376,0.01022649,0.02433512,0.0005464672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1352724,0.0004517032,0.8515305,0.00006267682,0.00008727245,0.0007388328,0.003705696,0.003528574,0.004622468],"genre_scores_gemma":[0.6182888,0.0003736956,0.3740613,0.00003484693,0.00003118105,0.001336031,0.003320513,0.0003404057,0.002213172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004965274,"threshold_uncertainty_score":0.02134424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201493648374788,"score_gpt":0.3617534955156194,"score_spread":0.3297385590318715,"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."}}