{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007652401,0.0006355293,0.0006552436,0.0006240826,0.0009151716,0.001256015,0.002621984,0.0004573045,0.0004011715],"category_scores_gemma":[0.0002386211,0.0007321946,0.0002974998,0.001666206,0.0003842557,0.002057609,0.001147656,0.0007734632,0.001168533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751571,"about_ca_system_score_gemma":0.0007360269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002297202,"about_ca_topic_score_gemma":0.00003246939,"domain_scores_codex":[0.9954904,0.0003653145,0.0006228131,0.00135121,0.0005791181,0.001591097],"domain_scores_gemma":[0.9960016,0.0005801549,0.000481857,0.001792936,0.0003606442,0.000782828],"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":[0.0000396838,0.001093628,0.01585077,0.0002337333,0.0005359398,0.000655848,0.005833307,0.0005065745,0.01415851,0.2787726,0.01384547,0.6684739],"study_design_scores_gemma":[0.001929265,0.0006830975,0.3377583,0.000727854,0.0004676312,0.0004624662,0.00537587,0.6028169,0.006867684,0.01295294,0.02774251,0.002215482],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6764367,0.00064701,0.3119477,0.003127505,0.0004434668,0.0005536648,0.0001426457,0.0005036882,0.006197583],"genre_scores_gemma":[0.7775311,0.0004022814,0.2186837,0.0005272128,0.0004311447,0.00006376419,0.00007792207,0.00007281059,0.002210018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6662584,"threshold_uncertainty_score":0.9997808,"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."}}