{"id":"W3035103801","doi":"10.1016/j.patter.2020.100047","title":"The Uruguayan Digital Data Journey","year":2020,"lang":"en","type":"article","venue":"Patterns","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001863964,0.0004117533,0.0006204022,0.0009683071,0.008266104,0.007589202,0.0008029129,0.001137498,0.01889453],"category_scores_gemma":[0.003747681,0.000325206,0.0002826009,0.002365601,0.002845063,0.006210376,0.006484232,0.001935098,0.00303284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006649001,"about_ca_system_score_gemma":0.006010383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1544831,"about_ca_topic_score_gemma":0.1300255,"domain_scores_codex":[0.9983248,0.0007812618,0.00010098,0.000208641,0.0002437107,0.0003405089],"domain_scores_gemma":[0.9986332,0.0002487697,0.0001167427,0.0001361361,0.0004872389,0.0003778814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002047286,0.0001148103,0.02007715,0.0009724415,0.00003889445,0.00346774,0.2752917,0.0003982261,0.002451008,0.3352116,0.1547028,0.207069],"study_design_scores_gemma":[0.000004406616,0.00002636856,0.006512173,0.0002795001,0.000007108938,0.0004263815,0.03760355,0.0001923561,0.0002371619,0.006017447,0.9486608,0.0000328814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3502378,0.04602351,0.008163426,0.1478677,0.002560125,0.0002009109,0.006069624,0.0006199314,0.4382569],"genre_scores_gemma":[0.8243073,0.01783244,0.008947032,0.007740002,0.0004086968,0.0003374096,0.002908483,0.0004429862,0.1370758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1544831,"threshold_uncertainty_score":0.3071678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2145716246066516,"score_gpt":0.3116020985316362,"score_spread":0.09703047392498468,"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."}}