{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001828561,0.0005104182,0.000355398,0.003111272,0.000820088,0.001613087,0.0006038872,0.0004998646,0.008947214],"category_scores_gemma":[0.01098814,0.000221761,0.0003403362,0.0008951784,0.0004567422,0.001409175,0.002297282,0.0004905248,0.002820328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387132,"about_ca_system_score_gemma":0.0003374099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762151,"about_ca_topic_score_gemma":0.006738856,"domain_scores_codex":[0.9984452,0.0007038058,0.00008415186,0.0001852561,0.0003663875,0.0002152197],"domain_scores_gemma":[0.9904484,0.003090439,0.001393013,0.0006916359,0.003065548,0.001310892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009194545,0.0003686409,0.699522,0.0006590036,0.00009330066,0.001981238,0.09687042,0.0005187646,0.01903071,0.001837408,0.01015199,0.1680471],"study_design_scores_gemma":[0.0000506136,0.001254509,0.7399507,0.0005992785,0.0001479405,0.004605429,0.1365435,0.01221022,0.01281423,0.001245617,0.09034251,0.0002354646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811152,0.0001722357,0.006361476,0.0001524461,0.00002444185,0.0002212103,0.0008366621,0.0002496714,0.01086664],"genre_scores_gemma":[0.9776638,0.0002522964,0.005713265,0.00009903396,0.00003098124,0.0004171788,0.001639195,0.0001544486,0.01402972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008947214,"threshold_uncertainty_score":0.02993143,"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."}}