{"id":"W4313268847","doi":"10.54691/bcpbm.v34i.3018","title":"Subscribers Forecasting of Netflix Based on Multiple Linear Models","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Plan (archaeology); Computer science; Econometrics; Business; Marketing; Economics; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006643878,0.0003011074,0.0003212367,0.0007246136,0.0004682213,0.00007740204,0.0005135727,0.00003389567,0.0008782101],"category_scores_gemma":[0.00005768901,0.0003216208,0.0001413626,0.001602947,0.00004605052,0.0005094577,0.0007405254,0.0001910974,0.00002475458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006938806,"about_ca_system_score_gemma":0.00002168123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008317956,"about_ca_topic_score_gemma":0.00004982512,"domain_scores_codex":[0.9978347,0.00002551347,0.0004739323,0.0004901255,0.0007314417,0.0004443187],"domain_scores_gemma":[0.9987953,0.0001120859,0.000340428,0.0005478095,0.0001866484,0.00001774985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004346585,0.0005094649,0.009956764,0.0007936215,0.00005965518,0.0001146789,0.00004138743,0.5039369,0.00008500991,0.001070752,0.001600213,0.4813969],"study_design_scores_gemma":[0.002064168,0.000006266087,0.1983922,0.0001287444,0.0002831597,0.000001822283,0.0003468436,0.7505376,0.0000187814,0.0007083493,0.04694982,0.0005621506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567428,0.0001189995,0.002497229,0.001086396,0.001604349,0.001557692,0.00002662304,0.0003878177,0.03597815],"genre_scores_gemma":[0.9969774,0.000004988642,0.0008975667,0.0009853054,0.0001548881,0.0001847425,0.0001178958,0.0000663035,0.0006108476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4808347,"threshold_uncertainty_score":0.9999236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05035375499453012,"score_gpt":0.2255060677258418,"score_spread":0.1751523127313117,"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."}}