{"id":"W7042820687","doi":"","title":"Propuesta metodológica para imputación de datos categóricos para el próximo Censo Nacional de Población y Viviendas","year":2020,"lang":"es","type":"other","venue":"Repositorio Digital de la UNC (National University of Cordoba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Publics; Limiting; Consistency (knowledge bases)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02873959,0.001151766,0.0009913561,0.009824682,0.002168638,0.006259092,0.002855107,0.001274997,0.01856447],"category_scores_gemma":[0.08637991,0.000799867,0.002659799,0.01597576,0.001050068,0.004317286,0.003157249,0.002168264,0.00338425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004533677,"about_ca_system_score_gemma":0.006852515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06106344,"about_ca_topic_score_gemma":0.06058925,"domain_scores_codex":[0.9791527,0.01242745,0.002029863,0.00226432,0.003287132,0.0008384754],"domain_scores_gemma":[0.9376392,0.03436931,0.007205911,0.003959443,0.0159676,0.0008585108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004450511,0.0003139767,0.7232941,0.00275645,0.0009482912,0.0004252348,0.01910077,0.004173242,0.001687143,0.03576704,0.0278963,0.1831923],"study_design_scores_gemma":[0.0001994934,0.001044634,0.6159653,0.003930682,0.001562045,0.0008713304,0.07270191,0.04820907,0.00671544,0.03784989,0.2105978,0.0003524367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4157557,0.003394279,0.3804,0.009464654,0.001318643,0.0132074,0.07603256,0.002015328,0.09841133],"genre_scores_gemma":[0.6028513,0.001515801,0.3407081,0.001178359,0.0002289249,0.01466265,0.01738792,0.0004440485,0.0210229],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06106344,"threshold_uncertainty_score":0.1519912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470712516774709,"score_gpt":0.2591715505276913,"score_spread":0.2444644253599442,"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."}}