{"id":"W4404759697","doi":"10.26871/rdg.v2i4.29","title":"LA INTELIGENCIA DE NEGOCIOS COMO APOYO A LA TOMA DE DECISIONES EN EL ÁREA DE COMERCIALIZACIÓN DE LA EMPRESA AZUAYNET","year":2023,"lang":"es","type":"article","venue":"DECISION GERENCIAL","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Process Research Ortech (Canada)","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006909012,0.0005944521,0.001101404,0.001487373,0.0005486881,0.0007969326,0.001177899,0.00136618,0.0009892057],"category_scores_gemma":[0.004174812,0.0007313523,0.000414101,0.002189596,0.000321688,0.0005191095,0.0005024559,0.0008123061,0.001748905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035696,"about_ca_system_score_gemma":0.0009419589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393377,"about_ca_topic_score_gemma":0.0002640019,"domain_scores_codex":[0.9954045,0.0003603629,0.001803187,0.0009583893,0.000216947,0.00125657],"domain_scores_gemma":[0.9936204,0.004254063,0.0007039241,0.000804635,0.0002421456,0.0003748194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003748567,0.0004106259,0.7673078,0.0001175855,0.00016505,0.0002477271,0.006581303,0.0007143125,0.0001574885,0.05043463,0.04034959,0.133139],"study_design_scores_gemma":[0.001234136,0.00006770537,0.7276438,0.0001877323,0.00003846312,0.0001584373,0.0004159009,0.01081118,0.0001104393,0.127976,0.1306426,0.0007136166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457591,0.0006959176,0.0425935,0.0002087828,0.001112532,0.0003357363,0.0004837735,0.0001955299,0.008615093],"genre_scores_gemma":[0.9894544,0.003613497,0.0040385,0.0007247697,0.001354444,0.0001088613,0.0001367585,0.0001313776,0.00043734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1324254,"threshold_uncertainty_score":0.9999303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255133400866625,"score_gpt":0.3057803100049726,"score_spread":0.2802669699183101,"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."}}