{"id":"W3211628069","doi":"","title":"Who doesn't watch Netflix?","year":2021,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Stock (firearms); Autoregressive integrated moving average; Coronavirus disease 2019 (COVID-19); Econometrics; Pandemic; Time series; Economics; Computer science; Geography; Mathematics; Statistics","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":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.03758739,0.0002438658,0.0005062736,0.000505494,0.0007346772,0.002067142,0.002586625,0.0001572888,0.00248555],"category_scores_gemma":[0.04974772,0.0001797884,0.000198199,0.005310065,0.0003929468,0.0005617359,0.002923722,0.001107283,0.0009826424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148276,"about_ca_system_score_gemma":0.0003646215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004144503,"about_ca_topic_score_gemma":0.00002263436,"domain_scores_codex":[0.9856222,0.0005126496,0.0008857996,0.001489794,0.01010691,0.001382653],"domain_scores_gemma":[0.9868256,0.004479289,0.0001701351,0.000708877,0.007324793,0.0004912994],"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":[0.00009803528,0.0003028926,0.2909603,0.00004335219,0.00007206612,0.0001597827,0.007154072,0.000002730901,0.01164332,0.01339111,0.5547775,0.1213948],"study_design_scores_gemma":[0.0009261187,0.0003326524,0.3225214,0.0001567081,0.00001344103,0.0001127518,0.01721084,0.0002455649,0.01912801,0.1215118,0.5173427,0.0004979521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6775689,0.0001686619,0.0002751912,0.007174022,0.0004201506,0.0004559141,0.000003534398,0.0001004887,0.3138332],"genre_scores_gemma":[0.7373803,0.0001226643,0.01044564,0.0004967698,0.001051418,0.0002154575,0.000002403657,0.00006904268,0.2502163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208968,"threshold_uncertainty_score":0.9997952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4775154349514607,"score_gpt":0.5951985255577859,"score_spread":0.1176830906063251,"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."}}