{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380323,0.001547269,0.000930258,0.002568606,0.0004562533,0.001199463,0.001904787,0.001599261,0.002780497],"category_scores_gemma":[0.01358662,0.0009217475,0.0005604455,0.001077811,0.0006865188,0.003270326,0.001837527,0.001665539,0.003949077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203822,"about_ca_system_score_gemma":0.0004812982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144834,"about_ca_topic_score_gemma":0.002380783,"domain_scores_codex":[0.9985166,0.0002528439,0.00009220432,0.0004851659,0.0005528098,0.0001003505],"domain_scores_gemma":[0.9913536,0.00263113,0.001161517,0.002317513,0.002364732,0.0001715063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006460883,0.0001987373,0.04628446,0.0005710018,0.0004188461,0.00066013,0.0002751666,0.2448768,0.1804935,0.0214539,0.01086645,0.4932549],"study_design_scores_gemma":[0.00003000354,0.0001899314,0.02375231,0.00005963794,0.00007131514,0.0003097356,0.0000757848,0.8712088,0.0755921,0.02222804,0.006347016,0.0001352627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0685735,0.0005839461,0.9228311,0.00008321711,0.00007433776,0.00002364846,0.001681852,0.002276666,0.003871784],"genre_scores_gemma":[0.6853082,0.0007283079,0.3044099,0.00006537852,0.0001667262,0.0001170505,0.005420967,0.000535709,0.003247751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002780497,"threshold_uncertainty_score":0.009301662,"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."}}