{"id":"W2767505646","doi":"10.1139/cgj-2017-0316","title":"Why is there a discrepancy in shear wave velocity – cone tip resistance (<i>V</i><sub>s</sub>–<i>q</i><sub>c</sub>) correlations’ trends with respect to grain size?","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Grain size; Cone penetration test; Statistics; Mathematics; Shear (geology); Statistical physics; Geotechnical engineering; Physics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00052006,0.000548064,0.0006344236,0.0005233529,0.0007474013,0.0004854674,0.0007758627,0.0005348738,0.00005073244],"category_scores_gemma":[0.0005906452,0.0005113573,0.0002255005,0.0006313677,0.0002285267,0.0003257889,0.00007497425,0.002164941,0.0000220577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009237354,"about_ca_system_score_gemma":0.0003292493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627078,"about_ca_topic_score_gemma":0.07503534,"domain_scores_codex":[0.996917,0.0000732507,0.0006879745,0.0005529648,0.0005459855,0.00122281],"domain_scores_gemma":[0.9970191,0.0001664233,0.0001534576,0.001088956,0.000124684,0.001447436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007926741,0.0001836684,0.0009138265,0.0003019444,0.0007408752,0.006590874,0.001096622,0.6243871,0.06712483,0.007601978,0.2190702,0.07119545],"study_design_scores_gemma":[0.007422509,0.0009569027,0.6341305,0.003207465,0.0003270979,0.002902986,0.0002515315,0.09788806,0.01967586,0.02285554,0.2047899,0.005591637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368986,0.001111189,0.03450007,0.02200802,0.0008931042,0.000624094,0.0002740947,0.0006546688,0.00303613],"genre_scores_gemma":[0.9970867,0.0001616815,0.001311439,0.0008984478,0.0002700949,0.0000384557,0.0000087464,0.000122944,0.0001014989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6332167,"threshold_uncertainty_score":0.9997338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008775394106450493,"score_gpt":0.2009802715485024,"score_spread":0.1922048774420519,"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."}}