{"id":"W4413143935","doi":"10.1144/qjegh2024-168","title":"New rock toughness index based on drilling and tensile strength by using entropy of decision tree and geotechnical analysis","year":2025,"lang":"en","type":"article","venue":"Quarterly Journal of Engineering Geology and Hydrogeology","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Bu-Ali Sina University","keywords":"Geotechnical engineering; Ultimate tensile strength; Toughness; Drilling; Geology; Index (typography); Materials science; Composite material; Computer science; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.0002090744,0.0001999333,0.0006148971,0.0006887913,0.00005414506,0.00001079709,0.0000971973,0.0002991072,0.000008616703],"category_scores_gemma":[0.00005435889,0.0001850084,0.00008555911,0.0002882764,0.00003060588,0.00005864339,0.00002135312,0.0003752411,1.423661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001812626,"about_ca_system_score_gemma":0.00002747798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263956,"about_ca_topic_score_gemma":0.00001191436,"domain_scores_codex":[0.9989538,0.00003133422,0.0005001442,0.0001796498,0.00009228527,0.0002428301],"domain_scores_gemma":[0.999202,0.0003718193,0.0001097093,0.0001368185,0.00005992104,0.0001196963],"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":[0.0001054067,0.00002538175,0.006148542,0.00005605912,0.000437755,0.00002875931,0.0001145362,0.976419,0.005965557,0.0004592555,0.00004944717,0.01019026],"study_design_scores_gemma":[0.001019261,0.000447485,0.00187693,0.00009894266,0.0003651011,0.0001267681,0.00004312671,0.9941075,0.001073643,0.0005605455,0.0001351827,0.000145463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588582,0.001547018,0.4096093,0.00004745105,0.0001605157,0.00002722153,0.000001673395,0.00002108254,0.000003685397],"genre_scores_gemma":[0.9959873,0.0001537969,0.003769174,0.00002365567,0.00004175385,6.567142e-7,0.000002068283,0.00001308465,0.000008513795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4074052,"threshold_uncertainty_score":0.7544425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003027723403060449,"score_gpt":0.1996692056852112,"score_spread":0.1966414822821507,"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."}}