{"id":"W4412201342","doi":"10.1080/19331681.2025.2530438","title":"Using Twitch for politics? The role of personality across five countries","year":2025,"lang":"en","type":"article","venue":"Journal of Information Technology & Politics","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Politics; Personality; Political science; Psychology; Social psychology; Political economy; Positive economics; Sociology; Economics; Law","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001286349,0.0001498796,0.0002118308,0.0008009719,0.0007085067,0.001611948,0.0001908983,0.0002752172,0.002603653],"category_scores_gemma":[0.004755958,0.0001552795,0.0002637951,0.000946309,0.0005950542,0.0007755924,0.001031655,0.0005502386,0.0002727453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247673,"about_ca_system_score_gemma":0.0002557737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008860172,"about_ca_topic_score_gemma":0.01270699,"domain_scores_codex":[0.9992608,0.0002986201,0.00005791545,0.00009670381,0.0001112309,0.0001746831],"domain_scores_gemma":[0.9945472,0.001606248,0.002014555,0.0002978937,0.0003543559,0.001179652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005094314,0.00003065324,0.9880939,0.00001602506,0.0000369373,0.00006581251,0.004879554,0.00004507772,0.0001582381,0.0001927283,0.0003166873,0.006113369],"study_design_scores_gemma":[0.000001791683,0.00002722465,0.9922116,0.00001321429,0.000007151522,0.00003956067,0.006917794,0.0001342048,0.000036045,0.00004933957,0.0005572674,0.000004943087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987459,0.00005173243,0.00006822217,0.0001091577,0.000006179506,0.00000405825,0.00008082414,0.000001727993,0.0009321247],"genre_scores_gemma":[0.9996247,0.00003223676,0.0000442386,0.00002424917,0.000002399889,0.000003389571,0.00007263773,0.000001442568,0.0001945862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008860172,"threshold_uncertainty_score":0.01761723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497148525425235,"score_gpt":0.3462512846265958,"score_spread":0.3312797993723435,"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."}}