{"id":"W4285093335","doi":"10.1080/17544750.2022.2093238","title":"Constructing patriotic networked publics: conservative YouTube influencers in Hong Kong","year":2022,"lang":"en","type":"article","venue":"Chinese Journal of Communication","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Influencer marketing; Public sphere; Social media; Government (linguistics); Media studies; Sociology; Allegiance; Democracy; Digital media; Politics; Political science; Law; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002879692,0.00008638995,0.0002256239,0.0002179841,0.0007269245,0.00009315256,0.0007458801,0.00004378148,0.0000788937],"category_scores_gemma":[0.001576972,0.00007867015,0.00007987799,0.0008247783,0.0003139812,0.0004945394,0.0001622993,0.0007225716,0.000001503338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584657,"about_ca_system_score_gemma":0.0006321799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222128,"about_ca_topic_score_gemma":0.001218884,"domain_scores_codex":[0.9974032,0.001357354,0.0005332537,0.00006931779,0.0004153822,0.0002215084],"domain_scores_gemma":[0.9979299,0.0007818826,0.0006174014,0.0002625415,0.0003110194,0.00009728249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000287527,0.00006099269,0.9312929,0.000005078404,0.00003045799,0.000008961326,0.03658823,0.003616964,0.00001141264,0.02397436,0.0002609709,0.004120899],"study_design_scores_gemma":[0.004488051,0.0003267987,0.3577378,0.0004011225,0.0001030547,0.0001780376,0.5008066,0.007580451,0.00002861175,0.1023745,0.02514717,0.0008277991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812535,0.0006161503,0.00004184134,0.004787571,0.0002835465,0.0001025173,0.000003932705,0.00001582948,0.01289511],"genre_scores_gemma":[0.9987723,0.0001535128,0.0006412545,0.000221732,0.0001236945,0.00000213579,0.000005601021,0.000008502822,0.00007122007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5735552,"threshold_uncertainty_score":0.5590989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176419648077885,"score_gpt":0.317203375456503,"score_spread":0.2954391789757241,"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."}}