{"id":"W4398252138","doi":"10.52495/c7.emcs.25.p108","title":"Capítulo 7. Inteligencia artificial para la relación con las audiencias: el sistema de recomendación Sophi","year":2024,"lang":"es","type":"article","venue":"Espejo de Monografías de Comunicación Social","topic":"Communication and COVID-19 Impact","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003432682,0.001140795,0.0009340326,0.001006856,0.001194329,0.007597286,0.002292943,0.001819371,0.02029746],"category_scores_gemma":[0.01234768,0.000788631,0.001049876,0.0006317692,0.002234444,0.00431426,0.003163486,0.002785928,0.007104685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759038,"about_ca_system_score_gemma":0.002438887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007717029,"about_ca_topic_score_gemma":0.004814701,"domain_scores_codex":[0.9967712,0.0005915466,0.0002300761,0.0006543411,0.001510338,0.0002424641],"domain_scores_gemma":[0.9939743,0.00222051,0.0004060896,0.001209965,0.001774229,0.0004148999],"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":[0.001198201,0.0004587501,0.01274455,0.001698859,0.0001883898,0.001234175,0.009747888,0.04248038,0.07862823,0.2676403,0.04796953,0.5360107],"study_design_scores_gemma":[0.0001776997,0.0007626485,0.0134318,0.0007982288,0.000248722,0.00107571,0.002297094,0.2990588,0.06856569,0.1051036,0.5080692,0.0004109118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02606403,0.0007411971,0.8430942,0.002795071,0.0006423724,0.0009412665,0.0007248941,0.01795228,0.1070447],"genre_scores_gemma":[0.4407922,0.001382783,0.4576764,0.00170799,0.0006375333,0.001260641,0.001905699,0.002916243,0.09172052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02029746,"threshold_uncertainty_score":0.06790179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07215351495670898,"score_gpt":0.4219316123326164,"score_spread":0.3497780973759075,"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."}}