{"id":"W3105890081","doi":"","title":"Data Processing for Joint Normal and Shear Stiffness to Eliminate Influences of the Surrounding Rock and Laboratory Machine","year":2020,"lang":"en","type":"article","venue":"54th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Joint (building); Shear (geology); Geology; Stiffness; Geotechnical engineering; Structural engineering; Engineering; Paleontology","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":[0.0005700398,0.0004204083,0.0005256829,0.0001457402,0.000435583,0.0001967679,0.000702183,0.000178761,0.000006275598],"category_scores_gemma":[0.0002212615,0.0003595463,0.0000518717,0.0006629255,0.000007750892,0.0006043112,0.0008524262,0.0003602429,0.000003133113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005153519,"about_ca_system_score_gemma":0.00009568545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001487342,"about_ca_topic_score_gemma":0.00002010574,"domain_scores_codex":[0.997765,0.00004519473,0.0005981422,0.0006674005,0.0003590373,0.0005652462],"domain_scores_gemma":[0.9987278,0.00007681658,0.0001901896,0.0004925985,0.0001936078,0.0003189833],"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":[0.0001518771,0.0000511346,0.00006059929,0.00558718,0.0001294924,0.000006081321,0.003204965,0.1674635,0.8139924,0.00310101,0.0006299079,0.005621851],"study_design_scores_gemma":[0.0006016447,0.0001407298,0.00001976579,0.0004087126,0.0001196791,0.00001528508,0.0004420505,0.9650899,0.0301099,0.0005568098,0.002000898,0.0004946357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4262697,0.005072646,0.559701,0.003013019,0.001571611,0.001912349,0.001688543,0.0006841131,0.00008707058],"genre_scores_gemma":[0.9978005,0.000165677,0.001248832,0.0003914588,0.0001845087,0.00004254873,0.00003966488,0.0001017413,0.00002512177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7976264,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682232269919006,"score_gpt":0.237931584073149,"score_spread":0.2111092613739589,"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."}}