{"id":"W3184306388","doi":"10.53641/junta.v2i2.37","title":"Análisis del impuesto a la renta no domiciliado en los establecimientos permanentes: servicios digitales, asistencia técnica y know how (periodo 2018-2019)","year":2019,"lang":"es","type":"article","venue":"Revista la Junta","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[0.00182745,0.0002196947,0.0003359778,0.002678261,0.001373564,0.003490445,0.0007257232,0.0006580863,0.01177566],"category_scores_gemma":[0.007330182,0.0002099884,0.000519103,0.005450792,0.0008842124,0.003225297,0.003270487,0.00181909,0.001720133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004279558,"about_ca_system_score_gemma":0.005764429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07628836,"about_ca_topic_score_gemma":0.1078687,"domain_scores_codex":[0.9981699,0.0002134878,0.0001168056,0.0001964734,0.0007157438,0.0005875202],"domain_scores_gemma":[0.9946387,0.00125526,0.00128201,0.0001981598,0.001594127,0.001031712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005362618,0.0001972185,0.6947668,0.001756407,0.0001460478,0.0009258608,0.04956971,0.0008927887,0.001058227,0.03868324,0.06741548,0.1440521],"study_design_scores_gemma":[0.000007131149,0.00005804939,0.8079123,0.0004795647,0.00003744784,0.0001391314,0.05070326,0.0002543892,0.0003058429,0.0009374581,0.1391417,0.0000238482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.849651,0.003457512,0.001512896,0.005081998,0.0002344635,0.0001677155,0.02207485,0.00007792731,0.1177416],"genre_scores_gemma":[0.9373755,0.003313818,0.0009555312,0.0005972944,0.0001265291,0.0003404511,0.01085495,0.00008526284,0.04635085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07628836,"threshold_uncertainty_score":0.1516886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072667959587432,"score_gpt":0.2086851718825742,"score_spread":0.1979584922866999,"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."}}