{"id":"W7120528864","doi":"","title":"Virtual Polarization: study of the dynamics of politically polarized scenarios on social networking sites","year":2021,"lang":"pt","type":"dissertation","venue":"Institutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná)","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Polarization (electrochemistry); Centrality; Metric (unit); Context (archaeology); Political communication; Social media; Voting behavior","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783441,0.0002357091,0.0002617133,0.002009311,0.00158768,0.002400886,0.0004034552,0.0006405031,0.001771878],"category_scores_gemma":[0.01307979,0.000193375,0.0002598495,0.001788494,0.00131633,0.004084808,0.001735276,0.0009027516,0.0003906415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007810393,"about_ca_system_score_gemma":0.0003707469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797702,"about_ca_topic_score_gemma":0.002504167,"domain_scores_codex":[0.9975826,0.001482558,0.00005807637,0.0001893212,0.0003626327,0.0003249354],"domain_scores_gemma":[0.9863455,0.008554627,0.002204861,0.0007079419,0.001190038,0.0009970107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006392691,0.0006236727,0.7468442,0.0003570364,0.0001520698,0.002397018,0.09316323,0.007087656,0.01116661,0.0494692,0.004412309,0.08368779],"study_design_scores_gemma":[0.00004909467,0.000600362,0.6239787,0.0002337247,0.0001101701,0.002466228,0.2038368,0.1096817,0.004578427,0.02355813,0.03074637,0.0001604152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910802,0.00008288502,0.001858248,0.0002763358,0.00001151084,0.00004441558,0.00009614968,0.00001336003,0.006536869],"genre_scores_gemma":[0.9989573,0.00004670414,0.0004938247,0.0000178738,0.00001241281,0.00001991188,0.00007418905,0.000005725675,0.0003720629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002797702,"threshold_uncertainty_score":0.009431899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428484450771785,"score_gpt":0.2579132587006259,"score_spread":0.233628414192908,"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."}}