{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001332157,0.0008908103,0.00175962,0.0006985812,0.0002752428,0.002381476,0.001278532,0.0006689473,0.001788271],"category_scores_gemma":[0.0002993498,0.001049452,0.0005470879,0.001111989,0.0002302841,0.002003811,0.0005291605,0.0006102403,0.007916471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006472385,"about_ca_system_score_gemma":0.0002765889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005146401,"about_ca_topic_score_gemma":0.00004501349,"domain_scores_codex":[0.9952114,0.00013798,0.001807476,0.001625373,0.0001818004,0.001035994],"domain_scores_gemma":[0.9956257,0.0003752909,0.001384237,0.001972731,0.0003683189,0.0002737148],"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":[0.0002043035,0.0008216622,0.8823671,0.003654929,0.0005686682,0.00003644001,0.000684265,0.00004300959,0.0002148008,0.0402937,0.065961,0.005150122],"study_design_scores_gemma":[0.001547609,0.0001170702,0.1198469,0.0008489454,0.00008758138,0.00006558873,0.0001980362,0.001171308,0.00001961697,0.0001210234,0.8748094,0.001166804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162002,0.01513827,0.0002170297,0.001121431,0.001375244,0.001473727,0.002529576,0.0001405321,0.06180405],"genre_scores_gemma":[0.9515413,0.01381769,0.000531983,0.0008739376,0.0007690086,0.00007673167,0.0009634196,0.0002333043,0.0311926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8088484,"threshold_uncertainty_score":0.9991956,"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."}}