{"id":"W4413593253","doi":"10.23881/idupbo.022.2-1e","title":"ANÁLISIS Y AGRUPACIÓN DE ÍNDICES BURSÁTILES","year":2023,"lang":"en","type":"article","venue":"Revista Investigación & Desarrollo","topic":"Finance, Taxation, and Governance","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Art","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006122143,0.0002771404,0.0003003561,0.00008033699,0.0003075105,0.0001445019,0.000525575,0.000125829,0.0009557442],"category_scores_gemma":[0.0004667903,0.0002616308,0.0001373518,0.001304863,0.0004728743,0.0004791034,0.0001719336,0.0001831677,0.003917953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836129,"about_ca_system_score_gemma":0.00006167075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000951801,"about_ca_topic_score_gemma":0.0001404798,"domain_scores_codex":[0.9977791,0.00009494993,0.0003722295,0.0005543367,0.0005313473,0.0006680912],"domain_scores_gemma":[0.9987626,0.0001028095,0.0002885882,0.0005542166,0.00001458837,0.0002771635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001752538,0.00004587379,0.7769019,0.00009471152,0.00002199781,0.00006887485,0.0009033312,0.001648201,0.009710226,0.005716585,0.19674,0.008130745],"study_design_scores_gemma":[0.0002671046,0.00004948898,0.5687329,0.00009463968,0.00002739208,0.00001502753,0.00009052987,0.001274197,0.001183857,0.002606244,0.4252835,0.0003751983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853863,0.0005418345,0.0001552167,0.0009929313,0.0001482257,0.000260061,0.00004856913,0.0003384209,0.01212849],"genre_scores_gemma":[0.9876869,0.0007666465,0.001915887,0.001122856,0.0001527388,0.00006482314,0.00003372744,0.00004436436,0.008212059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2285434,"threshold_uncertainty_score":0.9999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165264042471758,"score_gpt":0.2353049469422424,"score_spread":0.2236523065175248,"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."}}