{"id":"W2006406382","doi":"10.1139/t05-020","title":"Regression model for evaluating liquefaction potential by discriminant analysis of the SPT<i>N</i>value","year":2005,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liquefaction; Discriminant; Logarithm; Linear discriminant analysis; Standard penetration test; Mathematics; Statistics; Regression analysis; Geotechnical engineering; Multivariate statistics; Soil liquefaction; Engineering; Computer science; Artificial intelligence; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003255758,0.001680864,0.00103788,0.001775861,0.0003908866,0.001063324,0.001578195,0.0009656781,0.003355972],"category_scores_gemma":[0.005637571,0.0005050785,0.001154049,0.001101907,0.0004987015,0.0008133875,0.0005809742,0.001516067,0.002399049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261757,"about_ca_system_score_gemma":0.00111769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087475,"about_ca_topic_score_gemma":0.005347923,"domain_scores_codex":[0.9989668,0.0004228124,0.00005064882,0.0002480512,0.0002127881,0.00009893416],"domain_scores_gemma":[0.9977254,0.001423477,0.0002320812,0.0001144287,0.0004538472,0.00005075531],"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":[0.0006219216,0.0003179976,0.03138896,0.0001914832,0.0002832873,0.0002233414,0.0002412824,0.7516392,0.009226355,0.009677154,0.003086338,0.1931027],"study_design_scores_gemma":[0.00001126809,0.00005629953,0.001549186,0.000007670362,0.00002022572,0.00004014026,0.0000144225,0.9965404,0.0005047208,0.0008322579,0.0004076365,0.00001573488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0935021,0.0002738967,0.9024243,0.0002219194,0.00004981973,0.000175466,0.0006372772,0.001301797,0.001413358],"genre_scores_gemma":[0.8427561,0.0005493722,0.1453935,0.00006791291,0.00006402178,0.0008825923,0.001437978,0.0001740438,0.008674505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087475,"threshold_uncertainty_score":0.0216229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427142898470267,"score_gpt":0.2449060738191766,"score_spread":0.2306346448344739,"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."}}