{"id":"W4382360136","doi":"10.54871/cl4c400w","title":"García Canclini, Néstor (2020). Ciudadanos reemplazados por algoritmos. Bielefeld: Calas, 176 páginas","year":2023,"lang":"es","type":"article","venue":"Tramas y Redes","topic":"Communication and COVID-19 Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Garcia; Humanities; 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":[0.002627221,0.00132998,0.0007816312,0.003992388,0.001393393,0.00478965,0.001309892,0.00279945,0.03447218],"category_scores_gemma":[0.007597426,0.0004432419,0.0004183257,0.005458446,0.001314734,0.004941362,0.002290092,0.003220555,0.0170094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771484,"about_ca_system_score_gemma":0.005255403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0449857,"about_ca_topic_score_gemma":0.05242587,"domain_scores_codex":[0.9989384,0.0002276488,0.00008454609,0.0001184262,0.0004817022,0.0001492524],"domain_scores_gemma":[0.9975069,0.0005392416,0.0002565974,0.0001020601,0.001282705,0.0003125357],"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":[0.00007372093,0.000008586112,0.000535802,0.0004588668,0.000009996939,0.00008957615,0.0004349212,0.0000563764,0.000130953,0.006220812,0.8195877,0.1723927],"study_design_scores_gemma":[0.000006120356,0.000007896113,0.00162185,0.0005991776,0.00001467707,0.00006614753,0.0004039453,0.00002431534,0.00008986682,0.001544524,0.9956113,0.00001041916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001720347,0.7445708,0.001927415,0.1341622,0.04892361,0.00004667431,0.003857425,0.0005864645,0.06420504],"genre_scores_gemma":[0.04050491,0.6351928,0.009955239,0.0193355,0.01889749,0.0002341241,0.007007489,0.0008130155,0.2680595],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0449857,"threshold_uncertainty_score":0.1153209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05194795737434709,"score_gpt":0.3915918581637152,"score_spread":0.3396439007893681,"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."}}