{"id":"W2724682714","doi":"","title":"Obtaining Reliable Estimates of Intact Tensile Strength","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Ultimate tensile strength; Computer science; Forensic engineering; Materials science; Composite material; 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":[0.0006181179,0.0004574707,0.0006575306,0.0003273159,0.0002246176,0.00009273067,0.0004769543,0.0003269349,0.0003034917],"category_scores_gemma":[0.0001456471,0.0004948656,0.0001359321,0.0005777865,0.000008529968,0.0003190122,0.0001754623,0.0003215277,0.0001264951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169857,"about_ca_system_score_gemma":0.00006948532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002996938,"about_ca_topic_score_gemma":0.000002923743,"domain_scores_codex":[0.9975335,0.00004564447,0.0009499625,0.0004526098,0.0003808673,0.0006374218],"domain_scores_gemma":[0.998279,0.0001422827,0.0002627404,0.000786078,0.0004032699,0.000126669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002254263,0.00002930352,0.00003187243,0.0003112375,0.0001524258,0.000003202282,0.0001957172,0.06589756,0.6727821,0.2572307,0.00160291,0.001740444],"study_design_scores_gemma":[0.0004187314,0.0001404115,8.052341e-7,0.0001199136,0.0000662373,0.00003282813,0.0001459381,0.5819789,0.3880058,0.02106572,0.007586316,0.0004384116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06195642,0.0002649423,0.9193407,0.0001418745,0.007790443,0.0006892478,0.0001394513,0.001785856,0.007891029],"genre_scores_gemma":[0.989942,0.0001951445,0.009049665,0.000119726,0.0002998275,0.00006314305,0.00008797339,0.0001360482,0.0001065315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9279855,"threshold_uncertainty_score":0.9997503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008230939038290454,"score_gpt":0.2067528480664191,"score_spread":0.1985219090281286,"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."}}