{"id":"W4321019082","doi":"10.4067/s0718-07642023000100117","title":"Sistema integrado de reconocimiento de emociones para interacción hombre-máquina","year":2023,"lang":"es","type":"article","venue":"Información tecnológica","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001331695,0.0007035245,0.0007804366,0.001386285,0.0005606939,0.000467155,0.0008141472,0.001048222,0.004512706],"category_scores_gemma":[0.0003955129,0.0006791674,0.0006126868,0.001361785,0.0003859193,0.000623657,0.0003169412,0.001231965,0.02017776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005080363,"about_ca_system_score_gemma":0.0002994539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002024574,"about_ca_topic_score_gemma":0.00007259077,"domain_scores_codex":[0.9954081,0.0004200486,0.001444333,0.0007100206,0.0003725295,0.00164494],"domain_scores_gemma":[0.9972657,0.0004069817,0.000675097,0.0008874902,0.0002552105,0.0005095195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001235061,0.0008251206,0.01730228,0.001362522,0.001187588,0.0004974985,0.03796752,0.00006599807,0.001760957,0.01339875,0.1451955,0.7792012],"study_design_scores_gemma":[0.004577009,0.001435928,0.05917575,0.001589564,0.0003670449,0.001456911,0.01599757,0.002473851,0.004313831,0.005331736,0.9014869,0.001793917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8655568,0.0005458063,0.0005882671,0.008255545,0.003701712,0.00098831,0.000217312,0.001563495,0.1185828],"genre_scores_gemma":[0.9740708,0.002167094,0.0004258854,0.003109833,0.0006195973,0.00028398,0.0004234791,0.0001076558,0.01879161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7774073,"threshold_uncertainty_score":0.999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05774563294257407,"score_gpt":0.3677498150280775,"score_spread":0.3100041820855035,"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."}}