{"id":"W7011386994","doi":"","title":"In a market swamped with streaming services, Netflix's massive loss of subscribers is a big deal","year":2022,"lang":"en","type":"other","venue":"QUT ePrints (Queensland University of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Postal service; Cryptocurrency; Big data; Competition (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006946304,0.0005722822,0.0001972029,0.001011585,0.002208139,0.004555043,0.0006314631,0.002350378,0.2200892],"category_scores_gemma":[0.002252542,0.0002162437,0.0002826281,0.0006686045,0.0006437328,0.003787474,0.001567736,0.002634513,0.1036248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758209,"about_ca_system_score_gemma":0.002063955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791884,"about_ca_topic_score_gemma":0.03714043,"domain_scores_codex":[0.9994265,0.00002490313,0.000008456436,0.00005828412,0.0003372498,0.0001445934],"domain_scores_gemma":[0.9989135,0.000107244,0.00004460631,0.0000610684,0.0003778284,0.0004956195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004963069,0.0000361421,0.0004255392,0.0000231687,0.000002631741,0.0001164919,0.00005285554,0.00006351533,0.001430909,0.01406652,0.945746,0.03798669],"study_design_scores_gemma":[0.000009825606,0.00002939035,0.002131589,0.00002359409,0.000002188936,0.00008259488,0.0001134727,0.0004494601,0.000638839,0.001441889,0.9950664,0.00001064427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01005318,0.0005851551,0.002618439,0.03101877,0.003498289,0.0001041252,0.006348613,0.00402622,0.9417471],"genre_scores_gemma":[0.0288424,0.0007281594,0.001150432,0.008412923,0.0009362904,0.00003073467,0.004659802,0.0009048747,0.9543344],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2200892,"threshold_uncertainty_score":0.7362717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005088950226232533,"score_gpt":0.1870459687904226,"score_spread":0.18195701856419,"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."}}