{"id":"W7036166288","doi":"","title":"Análisis de la aplicación de la sección 27 NIFF para PYMES, deterioro de valor de los activos en el sector de sociedades anónimas de Empresas de transporte regular o no regular de carga por carretera de la ciudad de Cuenca durante el período 2013. Caso práctico Transportes Transmaserpi S. A.","year":2016,"lang":"es","type":"dissertation","venue":"Repositorio Institucional (Universidad de Cuenca)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arctic Goose Joint Venture","keywords":"Work (physics); External sector; Labour ward","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002777701,0.001620373,0.001592217,0.0003342303,0.001706116,0.000490196,0.001893156,0.004204611,0.0003275958],"category_scores_gemma":[0.0003649291,0.00123762,0.001651702,0.0007357165,0.00137868,0.000842524,0.00007159781,0.002074769,0.00001611208],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005113913,"about_ca_system_score_gemma":0.005190291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304025,"about_ca_topic_score_gemma":0.003944044,"domain_scores_codex":[0.9897608,0.002998874,0.001112703,0.00193177,0.0008744957,0.003321337],"domain_scores_gemma":[0.9943747,0.001780555,0.0008298137,0.0005964914,0.0004083971,0.002010046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00218234,0.0004990274,0.1849931,0.0006594206,0.000773528,0.003999261,0.0123904,0.0003634914,0.7906587,0.001116807,0.0004661471,0.001897892],"study_design_scores_gemma":[0.002689283,0.0008514976,0.8382326,0.001632965,0.001948459,0.007093552,0.007043632,0.001342102,0.1131868,0.001609982,0.0218255,0.002543564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901684,0.002011001,0.002427586,0.001329574,0.0004893566,0.0009365372,0.001197821,0.0003851657,0.001054589],"genre_scores_gemma":[0.9834966,0.005073853,0.006120969,0.0004181863,0.002317396,0.0001752128,0.0007258963,0.0001060678,0.001565821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6774718,"threshold_uncertainty_score":0.9996544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007549384905233932,"score_gpt":0.2632075711447418,"score_spread":0.2556581862395079,"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."}}