{"id":"W2047168940","doi":"10.1061/(asce)1090-0241(2009)135:1(84)","title":"CPT-Based Probabilistic Soil Characterization and Classification","year":2008,"lang":"en","type":"article","venue":"Journal of Geotechnical and Geoenvironmental Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Cone penetration test; Probabilistic logic; Penetration test; Geotechnical engineering; Unified Soil Classification System; Soil test; Soil water; Mathematics; Soil science; Soil classification; Computer science; Environmental science; Engineering; Subgrade; 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":[0.0001003519,0.0001710627,0.0002228335,0.0001068021,0.00005318749,0.00001835839,0.00007808225,0.0001293346,0.000008512715],"category_scores_gemma":[0.00003627198,0.0001551795,0.00005301813,0.00008276486,0.00007903074,0.0001428805,0.00002322927,0.0003275397,0.00000134444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005676248,"about_ca_system_score_gemma":0.000006420885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.645107e-7,"about_ca_topic_score_gemma":1.144863e-7,"domain_scores_codex":[0.9991787,0.000007000562,0.0003470466,0.0001165934,0.000174982,0.0001756918],"domain_scores_gemma":[0.9996445,0.00004581266,0.00005765049,0.000100454,0.00001013188,0.000141463],"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":[0.00001473538,0.00003282776,0.0000670813,0.0001194736,0.00002820235,0.00002464313,0.00002682614,0.917704,0.07661739,0.0002182859,0.00001940207,0.00512714],"study_design_scores_gemma":[0.0004628616,0.0001401734,0.1555044,0.0000622483,0.0000291354,0.0006046914,0.000006850594,0.8383102,0.001428744,0.00005930244,0.003150199,0.0002411332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618962,0.0003379069,0.03734828,0.0001011833,0.0001125731,0.00007294957,0.000004488389,0.000111238,0.00001521648],"genre_scores_gemma":[0.9988562,0.0004967572,0.0005027174,0.00001850388,0.00007368543,0.000004709294,0.000006309814,0.00002553515,0.00001560985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1554373,"threshold_uncertainty_score":0.6328036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006691996076348781,"score_gpt":0.162549927961735,"score_spread":0.1558579318853862,"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."}}