{"id":"W4401890082","doi":"10.1080/1369118x.2024.2396615","title":"Room with a viewership: visibility work & Twitch.tv in the domestic context","year":2024,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Digital Games and Media","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Sociology; Audience measurement; Advertising; Media studies; Visibility; Work (physics); Politics; Vampire; Ethnography; Entertainment; Public relations; Political science; Business; Engineering; Geography; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002176433,0.0000884378,0.0001014766,0.00002909651,0.0002046077,0.0006332913,0.000569602,0.00007967186,0.00007829719],"category_scores_gemma":[0.0002648586,0.00005991459,0.00009600818,0.0008715657,0.0002647688,0.001742525,0.00005588324,0.0003054297,0.0002261047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821062,"about_ca_system_score_gemma":0.0002425217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003314836,"about_ca_topic_score_gemma":0.001383943,"domain_scores_codex":[0.9987978,0.0002061061,0.0003105427,0.00008078224,0.0004178167,0.0001869979],"domain_scores_gemma":[0.9984882,0.0006933595,0.0000923772,0.000533188,0.0001378382,0.00005507042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001586048,0.00005761307,0.001134213,0.00006403617,0.00002592394,2.056924e-7,0.7213155,0.00005490095,4.959102e-7,0.03007751,0.0381495,0.2091042],"study_design_scores_gemma":[0.0001474091,0.00001018267,0.00378378,0.0001257554,0.000008514875,9.302614e-7,0.06451593,0.000137089,4.103035e-7,0.0008702938,0.9303129,0.00008683209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1643673,0.005567794,0.008140266,0.05126436,0.0004975401,0.002666838,0.0000328366,0.0006722371,0.7667909],"genre_scores_gemma":[0.99468,0.0007097291,0.0009141302,0.002523958,0.00003254983,0.00009529843,0.00007729242,0.000004545545,0.0009624758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8921633,"threshold_uncertainty_score":0.6106842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401141263210096,"score_gpt":0.3302846168477364,"score_spread":0.2962732042156355,"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."}}