{"id":"W4404637465","doi":"10.53689/pys.v37i2.414","title":"Reseña de libro: MUJERES. Análisis emocional en la ficción seriada multiplataforma.","year":2023,"lang":"es","type":"article","venue":"Persona y Sociedad","topic":"Literature, Culture, and Aesthetics","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006487042,0.0005372982,0.0004687181,0.0001592797,0.001313695,0.002516711,0.0005634716,0.0005641642,0.001828112],"category_scores_gemma":[0.00009961391,0.0004695652,0.0005260773,0.0002154485,0.0005302369,0.0007046852,0.000233336,0.0009310843,0.001014704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411816,"about_ca_system_score_gemma":0.0002278725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952861,"about_ca_topic_score_gemma":0.00003583971,"domain_scores_codex":[0.9970576,0.0002733788,0.0004268188,0.0005759092,0.0006620529,0.001004209],"domain_scores_gemma":[0.9985436,0.00041914,0.0001651816,0.000400169,0.0001825141,0.0002894407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008174345,0.0001948249,0.002054258,0.0004580939,0.0002496722,0.0001458736,0.3318866,0.00003951447,0.0001715578,0.2585324,0.4038124,0.002373019],"study_design_scores_gemma":[0.0009008565,0.00008886118,0.002830935,0.0002425761,0.00009935791,0.00002931743,0.0523097,0.001755186,0.00005247005,0.00134753,0.939709,0.0006342123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051979,0.004097697,0.000003367121,0.008126004,0.001507208,0.0005088444,0.003150231,0.0007726857,0.07663612],"genre_scores_gemma":[0.8957055,0.002040572,0.0002699969,0.001709171,0.003883393,0.00004895565,0.0007957661,0.0001333867,0.09541324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5358966,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089660557129716,"score_gpt":0.2626593911674164,"score_spread":0.2417627855961193,"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."}}