{"id":"W1853320873","doi":"10.1139/cgj-2012-0259","title":"Modeling piezocone cone penetration (CPTU) parameters of clays as a multivariate normal distribution","year":2013,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Multivariate statistics; Cone penetration test; Geology; Shear (geology); Penetration test; Multivariate normal distribution; Pore water pressure; Shear strength (soil); Mathematics; Soil water; Soil science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003020561,0.0002074528,0.0002805712,0.0001761617,0.0001083711,0.00008166196,0.0002654741,0.0003497627,0.0001375269],"category_scores_gemma":[0.0002248967,0.0002147753,0.0001353451,0.0002470709,0.00003677359,0.0002410189,0.00001962455,0.0008502305,0.00007328966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282872,"about_ca_system_score_gemma":0.0001582549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660394,"about_ca_topic_score_gemma":0.0006024208,"domain_scores_codex":[0.9984485,0.00002809303,0.0005642673,0.0001558337,0.0002361241,0.0005671642],"domain_scores_gemma":[0.9987317,0.00004007286,0.00005264832,0.0002356064,0.0001635911,0.0007763963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003431002,0.0000100146,0.000002447443,0.00001745256,0.00003037182,0.00001470358,0.00001612252,0.9865013,0.004583253,0.0006639385,0.0002385927,0.007918408],"study_design_scores_gemma":[0.0003276502,0.00007858461,0.0001790074,0.00006822243,0.00002354309,0.0001726696,0.00003425486,0.9964361,0.0009634271,0.001159624,0.0003139694,0.000242952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4647512,0.0001564115,0.5338934,0.0002583817,0.0003290276,0.0002285006,0.00003428086,0.0001912963,0.0001574624],"genre_scores_gemma":[0.9979144,0.00007589503,0.001768863,0.0000604865,0.00007077258,0.00002255954,0.00003300864,0.00003584619,0.00001814957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5331632,"threshold_uncertainty_score":0.9899446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009970696159076501,"score_gpt":0.190178000682598,"score_spread":0.1802073045235215,"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."}}