{"id":"W4372060501","doi":"10.1051/shsconf/202316501001","title":"An Investigation on the Streaming Industry: With the Case of Netflix","year":2023,"lang":"en","type":"article","venue":"SHS Web of Conferences","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Renting; Broadcasting (networking); Advertising; Live streaming; Business; Television industry; Computer science; Telecommunications; Multimedia; Engineering","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":[0.002248101,0.0004021784,0.0002605144,0.003551453,0.01330381,0.009002663,0.001388031,0.004735962,0.01055048],"category_scores_gemma":[0.004969931,0.0002853693,0.0004806973,0.004218301,0.005662689,0.009334613,0.003513004,0.004170417,0.0009731347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008809247,"about_ca_system_score_gemma":0.003911179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08830816,"about_ca_topic_score_gemma":0.1358762,"domain_scores_codex":[0.997502,0.0008644757,0.00004485514,0.0001674163,0.0006068997,0.0008143458],"domain_scores_gemma":[0.9952282,0.002643047,0.0004722277,0.0001491668,0.0007251432,0.0007822589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001734693,0.0007800008,0.04000539,0.0004936768,0.00003736295,0.03951486,0.3204929,0.0009185441,0.003171185,0.4898386,0.05026976,0.05430425],"study_design_scores_gemma":[0.00004232312,0.0001757927,0.04402658,0.0005516699,0.0000482105,0.003887225,0.5370408,0.002489593,0.001903841,0.01478316,0.3949871,0.00006368825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4951476,0.00227138,0.001921608,0.02222558,0.0001155701,0.0001264968,0.0001973476,0.00005100522,0.4779434],"genre_scores_gemma":[0.9419451,0.00277724,0.0019382,0.002726323,0.000122167,0.00005369831,0.0001922992,0.00005367327,0.05019129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08830816,"threshold_uncertainty_score":0.1755883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928962733515137,"score_gpt":0.2484337493189309,"score_spread":0.1991441219837795,"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."}}