{"id":"W4417361426","doi":"10.1145/3785356","title":"The Role of Social Support and Influencers in Content Markets","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Economics and Computation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Influencer marketing; Context (archaeology); Currency; Dual (grammatical number); Face (sociological concept); Core (optical fiber); Content (measure theory)","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":[0.0005204827,0.00004141798,0.00008442236,0.00009746967,0.0001941361,0.00006339579,0.0001221362,0.00002601088,0.000007592324],"category_scores_gemma":[0.00003108489,0.00003276416,0.00002323511,0.0001198207,0.0001040607,0.00007848121,0.000006448619,0.00004876592,0.000002821548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001385482,"about_ca_system_score_gemma":0.00002934991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490601,"about_ca_topic_score_gemma":0.00007240278,"domain_scores_codex":[0.9994727,0.00004192787,0.0002608047,0.0001291277,0.0000397991,0.00005562216],"domain_scores_gemma":[0.9990666,0.0007054126,0.000071319,0.0001041004,0.00003759368,0.00001495805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005946677,0.00002484427,0.0008944546,0.000001022495,0.00001104506,2.803679e-8,0.0004976533,0.002850816,0.00007644262,0.06168978,0.000009895212,0.9338846],"study_design_scores_gemma":[0.0005064586,0.00004099188,0.2348861,0.000004909848,0.00001201522,0.000001288344,0.004769629,0.02276671,0.0007278624,0.7270378,0.009173493,0.00007270162],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864444,0.00003028421,0.009624854,0.002159376,0.00004256694,0.0001036841,0.0000098872,0.000003720153,0.001581252],"genre_scores_gemma":[0.9994741,0.0001032337,0.0001502772,0.0001050347,0.000002561872,0.00001472604,8.140703e-7,0.000001473334,0.0001477989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338118,"threshold_uncertainty_score":0.1493158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977196310340644,"score_gpt":0.3213874610348901,"score_spread":0.2816154979314837,"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."}}