{"id":"W4417198795","doi":"10.1080/02650487.2025.2598980","title":"Generative AI streamers in action: a source credibility perspective","year":2025,"lang":"en","type":"article","venue":"International Journal of Advertising","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Perspective (graphical); Credibility; Generative grammar; Generative model; Source credibility","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005170826,0.0005963066,0.0002666209,0.001876084,0.001330891,0.005932157,0.0008144531,0.002141065,0.009146378],"category_scores_gemma":[0.03503378,0.0003411739,0.0003493583,0.0006429437,0.004196742,0.005917763,0.003296114,0.001887509,0.0008987041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119612,"about_ca_system_score_gemma":0.0005447706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009942132,"about_ca_topic_score_gemma":0.0005629674,"domain_scores_codex":[0.9955603,0.002866257,0.0001047303,0.0004385665,0.0008494457,0.0001808252],"domain_scores_gemma":[0.9641395,0.02765154,0.003344813,0.00225005,0.001688715,0.0009252785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008660766,0.0006443197,0.08473907,0.001070842,0.000207092,0.002682621,0.2194003,0.008366936,0.02468933,0.4583123,0.00558041,0.1934406],"study_design_scores_gemma":[0.0002845899,0.001170725,0.08446337,0.001458599,0.0004245643,0.004676086,0.1243058,0.08884321,0.01857459,0.5172127,0.1582239,0.0003619947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5698966,0.001344166,0.1553164,0.007724341,0.0002017749,0.0002905124,0.0001980484,0.0005310553,0.2644971],"genre_scores_gemma":[0.9870839,0.0002119992,0.008267439,0.0003513455,0.00006907166,0.0000581766,0.00004411313,0.00006460206,0.003849295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009146378,"threshold_uncertainty_score":0.03059775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648070199679116,"score_gpt":0.4206691123171908,"score_spread":0.3941884103203997,"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."}}