{"id":"W4312887936","doi":"10.1115/omae2022-81556","title":"A New Approach for Rock Strength Estimation Through a Semi-Point Load Strength Index and Correlation With Destructive and Nondestructive Tests","year":2022,"lang":"en","type":"article","venue":"Volume 10: Petroleum Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Compressive strength; Geological Strength Index; Ultimate tensile strength; Nondestructive testing; Fracture (geology); Repeatability; Drilling; Sample (material); Computer science; Geotechnical engineering; Geology; Engineering; Materials science; Mathematics; Statistics; Composite material; Mechanical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008948251,0.0002766611,0.0003006767,0.0002856225,0.0001980385,0.00003797594,0.0001313137,0.0001772414,0.0000257526],"category_scores_gemma":[0.00005689064,0.0002979928,0.00002799102,0.0004232172,0.00005809488,0.0002304375,0.00009685198,0.0004564856,0.000002254895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638586,"about_ca_system_score_gemma":0.00006258485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005645734,"about_ca_topic_score_gemma":0.00001439493,"domain_scores_codex":[0.998817,0.00001378932,0.0002242824,0.0004244832,0.0001768681,0.0003436249],"domain_scores_gemma":[0.9995009,0.00006132785,0.00008127333,0.0002397584,0.00004876579,0.00006797459],"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":[0.00006963993,0.00002219392,0.00345958,0.000080982,0.00009613163,0.000003182483,0.0004409663,0.9749075,0.0002095021,0.001183799,0.0002874141,0.01923912],"study_design_scores_gemma":[0.001361484,0.0003545371,0.0007954341,0.00002325061,0.00005880186,0.0002095977,0.0009129724,0.9923686,0.0002494021,0.002391766,0.0009480563,0.0003260618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2271517,0.000356196,0.770795,0.00005314633,0.00009048884,0.0002772372,0.00003492723,0.0007134721,0.0005278435],"genre_scores_gemma":[0.9205789,0.00001897144,0.07870232,0.000004331713,0.000034976,0.000207442,0.00004654243,0.00006257648,0.0003439572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6934272,"threshold_uncertainty_score":0.9999472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004311772155311536,"score_gpt":0.1876521576680036,"score_spread":0.1833403855126921,"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."}}