{"id":"W3095551589","doi":"10.1145/3383668.3419904","title":"Profiling Livestream Spectators","year":2020,"lang":"en","type":"article","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Typology; Profiling (computer programming); Computer science; Preference; Human–computer interaction; User experience design; Multimedia; World Wide Web; Sociology","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":[0.00003812347,0.00002603864,0.00003830223,0.000005335873,0.00002471724,0.00004307158,0.00006923234,0.0000156644,0.0003313385],"category_scores_gemma":[0.0001559338,0.00002182618,0.00002198069,0.000101108,0.00005332573,0.00009501663,0.000013201,0.0000266821,0.0002585904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007491311,"about_ca_system_score_gemma":0.00006180067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004394233,"about_ca_topic_score_gemma":0.0000606069,"domain_scores_codex":[0.9996553,0.000008399964,0.00004151787,0.00007355804,0.0001095591,0.0001116642],"domain_scores_gemma":[0.9997692,0.00001766661,0.000009587516,0.00002430632,0.00001201902,0.0001672179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008227356,0.00004519207,0.01808177,0.00001148042,0.00001270303,0.00001996258,0.04806466,0.000002620719,0.000308288,0.5836491,0.010345,0.339451],"study_design_scores_gemma":[0.0000543241,0.00003246265,0.000374413,0.000002336455,0.00000212604,6.816457e-8,0.01761942,0.00001693382,0.0007861147,0.0002453233,0.9808035,0.00006297882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08525261,0.00001877898,0.00004313825,0.003721315,0.00008521721,0.00005940036,5.478249e-7,0.0000995465,0.9107195],"genre_scores_gemma":[0.9687709,0.00002000565,0.0009794058,0.001145219,0.0003746261,0.000001559726,8.087943e-7,0.000003339609,0.02870411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704585,"threshold_uncertainty_score":0.3627924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216449681325069,"score_gpt":0.2893385813703001,"score_spread":0.2571740845570494,"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."}}