{"id":"W3092408833","doi":"10.5210/spir.v2020i0.11332","title":"MONETIZING RELATIONSHIPS: STREAMING ALONE WITH ALL OF YOURFRIENDS","year":2020,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Monetization; Competition (biology); Advertising; Work (physics); Live streaming; Computer science; Internet privacy; Business; Multimedia; Economics; Engineering; Ecology","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":[0.0007121949,0.00008258017,0.0001894376,0.0001215689,0.00005182776,0.00004334204,0.000362405,0.00008511008,0.0001492855],"category_scores_gemma":[0.001970087,0.00007073185,0.00004001898,0.001212379,0.000502777,0.0001542238,0.00007616079,0.0004179712,0.00001235709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005233607,"about_ca_system_score_gemma":0.0002885759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865142,"about_ca_topic_score_gemma":0.002321094,"domain_scores_codex":[0.9979783,0.0002910184,0.0002332006,0.0002237086,0.0008699383,0.0004038538],"domain_scores_gemma":[0.998444,0.0005248965,0.00008734207,0.000121246,0.000586364,0.0002361144],"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":[0.001535134,0.0006086105,0.1541381,0.0003927974,0.0008060629,0.0001027887,0.5728801,0.0001546001,0.08673827,0.03752596,0.01275997,0.1323576],"study_design_scores_gemma":[0.00340054,0.00669735,0.07038221,0.001358566,0.0001036784,0.00001028398,0.2415349,0.001464072,0.07731105,0.0003715757,0.596301,0.001064771],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6704707,0.0001728762,0.00001686494,0.001273172,0.00001750272,0.0001845435,0.00000522506,0.00003476508,0.3278244],"genre_scores_gemma":[0.9936972,0.00008545499,0.0004643871,0.00003518294,0.00005915313,0.000008138264,0.00001373288,0.00001426962,0.00562253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.583541,"threshold_uncertainty_score":0.2884361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09787033110278413,"score_gpt":0.358924453991366,"score_spread":0.2610541228885819,"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."}}