{"id":"W2279142988","doi":"10.1144/qjegh2014-108","title":"Prediction of soil type and standard penetration test (SPT) value in Khulna City, Bangladesh using general regression neural network","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Engineering Geology and Hydrogeology","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Standard penetration test; Artificial neural network; Regression analysis; Statistics; Value (mathematics); Regression; Soil type; Geotechnical engineering; Environmental science; Mathematics; Soil science; Geology; Soil water; Computer science; Artificial intelligence","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":[0.000453232,0.0001054588,0.0002526071,0.00008193307,0.00003560481,0.000006594589,0.00006284345,0.000192236,0.00003232903],"category_scores_gemma":[0.00004364183,0.00008261508,0.00002285728,0.0001438199,0.0001308492,0.0001533932,0.00003207829,0.0002572409,5.481332e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003670226,"about_ca_system_score_gemma":0.00002378819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001121887,"about_ca_topic_score_gemma":0.00004807384,"domain_scores_codex":[0.9991665,0.00006209386,0.0003466422,0.0001183582,0.0001096835,0.0001967423],"domain_scores_gemma":[0.9995824,0.00005871762,0.0001668364,0.0000628855,0.00003279874,0.00009632808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001328226,0.00002047728,0.5290155,0.000008209408,0.00001999171,0.00004388676,0.000442664,0.4659459,0.003445266,0.00009729004,0.0000781006,0.0007498501],"study_design_scores_gemma":[0.001916222,0.004090191,0.2704812,0.00007810083,0.00007655384,0.002158109,0.00007426496,0.7187147,0.0002540186,0.001768599,0.0002310187,0.0001570532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976814,0.0009406844,0.0007319844,0.0001156577,0.0004182691,0.00004581828,0.000001333783,0.000006461925,0.00005838162],"genre_scores_gemma":[0.9985974,0.00008224814,0.001156621,0.00001642097,0.0001237609,4.049078e-7,0.000002379774,0.000006621898,0.00001413674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585343,"threshold_uncertainty_score":0.3368945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235216905661094,"score_gpt":0.216171187967653,"score_spread":0.203819018911042,"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."}}