{"id":"W2979851913","doi":"","title":"Marco para la definición multidimensional del modelo de datos, estructura, taxonomías y reglas de la especificación xbrl","year":2016,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Accounting and Financial Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":[0.004751156,0.001245382,0.0007747717,0.002481875,0.0009011187,0.008015402,0.00176103,0.001592905,0.01107185],"category_scores_gemma":[0.009426801,0.0008576072,0.002262613,0.002635218,0.001442123,0.006035759,0.003095097,0.003780465,0.005687989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140229,"about_ca_system_score_gemma":0.003010464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346002,"about_ca_topic_score_gemma":0.006999767,"domain_scores_codex":[0.9940141,0.001227276,0.001016573,0.001123986,0.0023406,0.0002774384],"domain_scores_gemma":[0.9955981,0.001199669,0.0003531669,0.001060541,0.001574546,0.0002138629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000322992,0.0001369456,0.003969426,0.00150738,0.0001746575,0.0008789013,0.00336152,0.01043501,0.02148291,0.5871266,0.06520301,0.3054007],"study_design_scores_gemma":[0.00004609631,0.00006653752,0.001587177,0.0007631748,0.00008138877,0.0006357952,0.0004593046,0.02714403,0.008124937,0.07546475,0.8855302,0.00009661193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005739897,0.002386204,0.9437454,0.002562749,0.0008051787,0.0004321473,0.005367876,0.007378229,0.03158235],"genre_scores_gemma":[0.06204377,0.005022279,0.8740824,0.001652164,0.0005277505,0.0009373278,0.01426806,0.002222737,0.03924358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01346002,"threshold_uncertainty_score":0.03703904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312257063501559,"score_gpt":0.2297195363709704,"score_spread":0.2165969657359548,"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."}}