{"id":"W4387168314","doi":"10.22201/cisan.24487228e.2023.1.622","title":"Truck Fudeau: Algorithms, Conspiracy and Radicalization","year":2023,"lang":"en","type":"article","venue":"Norteamérica","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Lakehead University","funders":"Ministerio de Ciencia, Innovación y Universidades","keywords":"Rhetoric; Populism; Battle; Media studies; Ideology; Radicalization; Social media; Mainstream; Mandate; Political science; Public opinion; Law; Sociology; Terrorism; Politics; Criminology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000408844,0.0000549641,0.00008178618,0.0001023607,0.0003890925,0.00009727818,0.00008245537,0.00006412832,0.0003564098],"category_scores_gemma":[0.0004351385,0.00005192777,0.00002049958,0.0005820284,0.0001336931,0.0002978236,0.0000217704,0.00005548298,0.0004487303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002689375,"about_ca_system_score_gemma":0.000100889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003201721,"about_ca_topic_score_gemma":0.00009478775,"domain_scores_codex":[0.9992033,0.00005726734,0.0001402889,0.00009411978,0.0002899749,0.0002150751],"domain_scores_gemma":[0.9995654,0.00008121645,0.00004676966,0.00008312237,0.00004607185,0.0001774176],"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":[0.0000127568,0.00005466192,0.01176669,0.00003310251,0.00002558662,0.000008604107,0.1229747,0.0000227038,0.00008103409,0.1452129,0.4027461,0.3170611],"study_design_scores_gemma":[0.0003151628,0.00002433447,0.05591855,0.000008141968,0.000006441036,0.000001878614,0.008632517,0.001216149,0.00001776209,0.001815071,0.9319097,0.0001343133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3772717,0.00016609,0.002182011,0.01713538,0.0008627748,0.0006305162,0.00002516478,0.001296123,0.6004303],"genre_scores_gemma":[0.993106,0.0006178856,0.0005251075,0.001664437,0.0002166764,0.000002945416,0.00002810338,0.000009069656,0.003829764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6158344,"threshold_uncertainty_score":0.576767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264912759308396,"score_gpt":0.3508239372320824,"score_spread":0.3081748096389984,"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."}}