{"id":"W2144393799","doi":"","title":"METODOLOGÍA PARA UN SCORING DE CLIENTES SIN REFERENCIAS CREDITICIAS","year":2013,"lang":"es","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Balanced scorecard; CHAID; Humanities; Geography; Political science; Business; Computer science; Philosophy; Process management; Artificial intelligence; Decision tree","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005056962,0.0008937687,0.001379152,0.00215052,0.0009724249,0.003012823,0.001428611,0.001122893,0.008071347],"category_scores_gemma":[0.01578366,0.0003880955,0.0008641059,0.003676903,0.0005594795,0.001596484,0.001399384,0.001320406,0.001080887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002637165,"about_ca_system_score_gemma":0.003053225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795032,"about_ca_topic_score_gemma":0.01372132,"domain_scores_codex":[0.9966474,0.001749106,0.000293292,0.0004937671,0.0006037369,0.000212508],"domain_scores_gemma":[0.9955626,0.00200572,0.0005819102,0.0004246082,0.001281573,0.0001435646],"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":[0.000962245,0.0007501984,0.2075633,0.0007622733,0.0003797675,0.0004557441,0.002367233,0.1592527,0.004139565,0.05466151,0.01150525,0.5572002],"study_design_scores_gemma":[0.0001427542,0.0004266716,0.05294039,0.0001772624,0.0001707708,0.000379418,0.002835909,0.8736307,0.004844881,0.04794619,0.01641944,0.00008557057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2196937,0.0005114562,0.7604339,0.001919677,0.00009425388,0.001674054,0.003310292,0.0006915572,0.01167119],"genre_scores_gemma":[0.7383127,0.0005774149,0.247911,0.0001368309,0.00006725702,0.001369103,0.002102318,0.00005389692,0.009469382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01795032,"threshold_uncertainty_score":0.03569168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757571333676266,"score_gpt":0.267506390226272,"score_spread":0.2299306768895094,"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."}}