{"id":"W2391741542","doi":"","title":"Slope Stability Evaluation Based on Choquet Fuzzy Integral","year":2014,"lang":"en","type":"article","venue":"Water power","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Choquet integral; Fuzzy logic; Stability (learning theory); Mathematics; Analytic hierarchy process; Fuzzy measure theory; Hierarchy; Fuzzy set; Set (abstract data type); Process (computing); Mathematical optimization; Applied mathematics; Fuzzy number; Computer science; Operations research; Artificial intelligence; Machine learning","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":[0.00191854,0.0001596854,0.0001513782,0.0001218208,0.00007970932,0.0001144913,0.0007701395,0.00007499265,0.0002369727],"category_scores_gemma":[0.0003843823,0.0001034278,0.00006756421,0.0001440318,0.00004263844,0.0003903778,0.0002102339,0.0001599796,0.0002579447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408186,"about_ca_system_score_gemma":0.00003194136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006077904,"about_ca_topic_score_gemma":0.000003845454,"domain_scores_codex":[0.9980233,0.0002687385,0.00023773,0.0005174982,0.0006673144,0.0002854578],"domain_scores_gemma":[0.9981303,0.0001583187,0.00005202621,0.001357148,0.0002346567,0.00006761158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002900729,0.00107458,0.002680126,0.00003144349,0.00002922661,0.00002348139,0.003765003,0.005299247,0.03565013,0.09240547,0.01826587,0.8404853],"study_design_scores_gemma":[0.0007361756,0.0006504707,0.003912437,0.00007616015,0.000007377576,0.000003717226,0.000008047576,0.3879409,0.2141173,0.3487568,0.04326726,0.0005233612],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04670196,0.000003520258,0.9339108,0.0009876449,0.0004356719,0.0002842429,0.000001276892,0.0004526689,0.01722216],"genre_scores_gemma":[0.8643448,1.627571e-7,0.134637,0.0008990455,0.00002786545,0.00003509254,0.000005145742,0.00001108954,0.00003975427],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.839962,"threshold_uncertainty_score":0.4217664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495106509841231,"score_gpt":0.2964279462021505,"score_spread":0.2714768811037382,"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."}}