{"id":"W4407208504","doi":"10.24251/hicss.2025.344","title":"The Dual Impact of Video Content on OTT Viewership: Examining the Relationship between Video Marketer-Generated and Video User-Generated Content","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Legal Systems and Institutions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Content (measure theory); Computer science; Multimedia; Audience measurement; Online video; Dual (grammatical number); Advertising; Business; Mathematics; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045494,0.0002218024,0.0002241119,0.0007344955,0.0002694517,0.001607048,0.0002652419,0.0003010801,0.005280051],"category_scores_gemma":[0.01099458,0.00009489001,0.0003971018,0.0005924166,0.000504768,0.0008553898,0.000679104,0.0006775319,0.0004596765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231582,"about_ca_system_score_gemma":0.0003065688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005435567,"about_ca_topic_score_gemma":0.007731265,"domain_scores_codex":[0.999207,0.0003270245,0.00003735073,0.0001084678,0.0002100902,0.00011011],"domain_scores_gemma":[0.9822354,0.01135402,0.003603191,0.0005977486,0.001070529,0.001139057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007784184,0.000292536,0.976526,0.00009269777,0.0001497674,0.0001165865,0.002652108,0.0001727713,0.003904446,0.0005241599,0.000259547,0.01453094],"study_design_scores_gemma":[0.000007520928,0.0001865211,0.9966536,0.00001251598,0.00004535,0.00003875363,0.001520443,0.000399341,0.0006208546,0.00009557093,0.0004133615,0.000006135956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943219,0.0001005624,0.000145723,0.00005464409,0.000006390646,0.00001231188,0.0001364183,0.000005640188,0.005216426],"genre_scores_gemma":[0.9989177,0.00004865615,0.00012998,0.00002212773,0.00001000372,0.000008790662,0.000149607,0.000007031007,0.0007062025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005435567,"threshold_uncertainty_score":0.01766354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324154042741057,"score_gpt":0.3113296291428951,"score_spread":0.1789142248687894,"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."}}