{"id":"W1959464849","doi":"","title":"Polarización y medios a 30 años de democracia","year":2013,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Media and Digital Communication","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Philosophy; Political science","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":[0.001046388,0.0002549067,0.0001750777,0.00118474,0.003381057,0.004745364,0.0002668089,0.0006120965,0.0121867],"category_scores_gemma":[0.001554537,0.0001275876,0.0002051809,0.001896944,0.003720991,0.003428721,0.002053573,0.001880652,0.0009652706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004503328,"about_ca_system_score_gemma":0.001799869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01646148,"about_ca_topic_score_gemma":0.02457021,"domain_scores_codex":[0.9991184,0.0002866484,0.00002712342,0.0001549369,0.0001917221,0.0002211613],"domain_scores_gemma":[0.9990829,0.0002668882,0.000203907,0.00005517006,0.0001370166,0.000254181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004001434,0.00005367577,0.01029015,0.000174144,0.00001815922,0.0003151353,0.09707471,0.0002840612,0.001180546,0.8335537,0.01589095,0.04076476],"study_design_scores_gemma":[0.00003897107,0.00009832051,0.09717758,0.0004315562,0.00001737756,0.0002485099,0.06470513,0.0002611422,0.0007847198,0.06952861,0.7666666,0.00004152094],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2399473,0.007330994,0.001271855,0.00989724,0.0004566954,0.00004795033,0.0006753496,0.00005938142,0.7403132],"genre_scores_gemma":[0.9574543,0.003038693,0.0004573137,0.0005395954,0.0001895804,0.00004469405,0.0002931671,0.00002972548,0.03795286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01646148,"threshold_uncertainty_score":0.04076856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067957974579852,"score_gpt":0.2420937674220521,"score_spread":0.2314141876762535,"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."}}