{"id":"W2799498604","doi":"10.1520/gtj20170208","title":"Application of Digital Image Correlation Technique for Measurement of Tensile Elastic Constants in Brazilian Tests on a Bi-Modular Crystalline Rock","year":2018,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Digital image correlation; Poisson's ratio; Strain gauge; Speckle pattern; Tension (geology); Tensile testing; Materials science; Modulus; Ultimate tensile strength; Young's modulus; Strain (injury); Composite material; Compression (physics); Elastic modulus; Geotechnical engineering; Poisson distribution; Structural engineering; Mathematics; Optics; Geology; Physics; Engineering; Statistics","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":[0.001547458,0.0001753076,0.0003166207,0.0002923558,0.00008497404,0.00007800657,0.0006018867,0.0001392595,0.000003621991],"category_scores_gemma":[0.004885476,0.0001519379,0.00008978839,0.0006010736,0.000175874,0.0004012822,0.0001137213,0.0003550205,0.000003863483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454024,"about_ca_system_score_gemma":0.0001342071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004036577,"about_ca_topic_score_gemma":0.000001803489,"domain_scores_codex":[0.9978275,0.00004743429,0.000871024,0.0003112863,0.0006394919,0.0003033004],"domain_scores_gemma":[0.9970611,0.000348482,0.0005069178,0.0003618639,0.00162287,0.00009873669],"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":[0.0000840344,0.000440277,0.001828935,0.00004990772,0.00001247523,0.000003066345,0.0000232826,0.0005956698,0.9756898,0.003685451,0.00008701724,0.01750008],"study_design_scores_gemma":[0.001272809,0.007513652,0.01014079,0.002448024,0.00003356797,0.0001577689,0.00001607584,0.5195609,0.3982252,0.05998563,0.0001432859,0.0005023123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009149352,0.00001570636,0.9890774,0.0001812766,0.00005039565,0.0007066909,0.000006523218,0.0001244932,0.0006881398],"genre_scores_gemma":[0.8846893,0.000001522806,0.1151728,0.00001954517,0.00005685629,0.0000448292,0.000001184499,0.00001177922,0.00000218081],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.87554,"threshold_uncertainty_score":0.6195849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04978395555651244,"score_gpt":0.2942396550852494,"score_spread":0.244455699528737,"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."}}