{"id":"W4312039374","doi":"10.1139/cjce-2021-0277","title":"Statistical analysis and prediction of force and overtopping rates on large-scale vertical walls using support vector machine and random forest regression","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Sherbrooke","funders":"","keywords":"Support vector machine; Random forest; Regression analysis; Usability; Regression; Linear regression; Redundancy (engineering); Statistics; Engineering; Geotechnical engineering; Mathematics; Simulation; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776303,0.0007895575,0.0005857512,0.001232755,0.0002453678,0.0004528666,0.0003697692,0.0003955569,0.0006903859],"category_scores_gemma":[0.005800673,0.0001928903,0.0007534447,0.001012721,0.0002438954,0.0004845439,0.0002728111,0.0005118172,0.0002817919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002206133,"about_ca_system_score_gemma":0.0004317737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005405698,"about_ca_topic_score_gemma":0.004617567,"domain_scores_codex":[0.9993711,0.0002172534,0.00005745103,0.0001618798,0.0001243308,0.00006794014],"domain_scores_gemma":[0.9964392,0.002432073,0.0003827121,0.0002549055,0.0004357998,0.00005533771],"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":[0.0004629534,0.0002314414,0.1002721,0.0001378068,0.0001998229,0.0003738765,0.000125912,0.6281641,0.02235904,0.0007755854,0.001369342,0.245528],"study_design_scores_gemma":[0.000004405182,0.00006882439,0.02475901,0.000007885139,0.0000111842,0.00003820308,0.00003059926,0.9724521,0.002149302,0.0002870939,0.0001746557,0.00001672503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722557,0.0001587747,0.2253707,0.00007285856,0.00003691359,0.00005289438,0.0007528742,0.0008482777,0.0004509579],"genre_scores_gemma":[0.9554789,0.00005462741,0.04324135,0.000009126632,0.00001079418,0.0000556302,0.0007982436,0.00004265926,0.0003085464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005405698,"threshold_uncertainty_score":0.01074845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005002064361806315,"score_gpt":0.1947849537749076,"score_spread":0.1897828894131013,"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."}}