{"id":"W2007381961","doi":"10.2523/iptc-17447-ms","title":"Estimation of Rock Compressive Strength Using Downhole Weight-on-Bit and Drilling Models","year":2014,"lang":"en","type":"article","venue":"International Petroleum Technology Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shell Canada","keywords":"Drilling; Geology; Borehole; Drill; Drill bit; Compressive strength; Well logging; Coring; Drill string; Measurement while drilling; Completion (oil and gas wells); Drag; Geotechnical engineering; Hydraulic fracturing; Petroleum engineering; Engineering; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005984013,0.0001482856,0.0001860678,0.0003509921,0.00003359999,0.00002310635,0.0002249413,0.0001319342,0.00001440399],"category_scores_gemma":[0.00003979605,0.0001557177,0.00002241179,0.00008495216,0.00004569694,0.0001288407,0.00004802977,0.0002132016,0.000005900124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003783767,"about_ca_system_score_gemma":0.000008980425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009799121,"about_ca_topic_score_gemma":0.000001687015,"domain_scores_codex":[0.9992866,0.000006811203,0.0002274275,0.0001770687,0.0001488815,0.0001531937],"domain_scores_gemma":[0.9996033,0.00006306727,0.00006273784,0.0001633783,0.00007464925,0.00003287744],"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":[0.000003612957,0.000009522809,0.0001467241,0.00001871656,0.00003740575,8.578837e-7,0.00002991554,0.9424357,0.00589176,0.04509493,0.00000799272,0.006322902],"study_design_scores_gemma":[0.0002508012,0.00003154711,0.0000404648,0.0001595932,0.000009886118,0.000009098897,0.00001939246,0.9708537,0.0174085,0.01087449,0.0002066459,0.000135814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.44547,0.00005606775,0.5515043,0.00006171923,0.0002228711,0.00002591214,0.0000102131,0.0002165285,0.002432395],"genre_scores_gemma":[0.9931503,0.00005081756,0.006691657,0.000007578949,0.00004044376,0.000006731222,0.00001145453,0.00001916092,0.0000218519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5476803,"threshold_uncertainty_score":0.6349984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029212014675835,"score_gpt":0.2121377666718769,"score_spread":0.2018456465251185,"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."}}