{"id":"W7017406775","doi":"","title":"Aplicación de técnica de toma de decisiones multi-criterio para seleccionar una metodología de medición del efecto Unconstraining para una empresa de transporte aéreo comercial.","year":2019,"lang":"es","type":"other","venue":"Repositorio Institucional UN - Biblioteca Digital","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional Mayor de San Marcos; McGill University","keywords":"Hierarchy; Work (physics); Analytic hierarchy process","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","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001748353,0.001357527,0.002263105,0.005595192,0.0006540353,0.001294411,0.001284602,0.002315388,0.0004825068],"category_scores_gemma":[0.0006398608,0.001637727,0.0009098382,0.00444656,0.0005805052,0.001451595,0.0002171163,0.001439705,0.0003646076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858091,"about_ca_system_score_gemma":0.003293619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075071,"about_ca_topic_score_gemma":0.0001378909,"domain_scores_codex":[0.9927844,0.0001117604,0.002740253,0.001961708,0.0003880607,0.002013839],"domain_scores_gemma":[0.9951944,0.0006385889,0.001734601,0.001213922,0.0003846368,0.0008338318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009206548,0.002052639,0.9483053,0.001221516,0.002739999,0.001071323,0.001319798,0.002381859,0.001423692,0.0173941,0.007219111,0.01395001],"study_design_scores_gemma":[0.005698812,0.0004650418,0.5102904,0.002407979,0.0003569449,0.004130916,0.0001703856,0.005998146,0.0008932814,0.003697087,0.4626508,0.003240229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786594,0.004024017,0.08871881,0.0008214759,0.002101596,0.001219211,0.001819395,0.0003459454,0.02229018],"genre_scores_gemma":[0.9605201,0.002971027,0.02608662,0.0009892634,0.002841451,0.0001971046,0.0007509107,0.0004821802,0.005161365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4554317,"threshold_uncertainty_score":0.9999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442737467443386,"score_gpt":0.2788105003956592,"score_spread":0.2345367536513207,"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."}}