{"id":"W4393435695","doi":"10.54097/x446dk79","title":"Time Series Data Forecasting: Alcohol Sales Prediction Based on Prophet","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Durham College","funders":"","keywords":"Series (stratigraphy); Time series; Sales forecasting; Econometrics; Computer science; Mathematics; Machine learning; Geology","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":[0.0006046045,0.0006429692,0.0007520653,0.001458455,0.0002967496,0.0006686657,0.000698233,0.0005709624,0.002109712],"category_scores_gemma":[0.002447048,0.0002178433,0.0008138667,0.001559483,0.0001846611,0.0009686549,0.0003607728,0.001065979,0.0007533607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455823,"about_ca_system_score_gemma":0.0005505001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151596,"about_ca_topic_score_gemma":0.007312823,"domain_scores_codex":[0.9997798,0.00004720652,0.00001500583,0.00005547803,0.00008068566,0.000021857],"domain_scores_gemma":[0.9994653,0.0002449908,0.00006207572,0.00004241573,0.0001683617,0.00001685181],"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":[0.0006707774,0.0003545049,0.02499401,0.000388873,0.0002383987,0.0004029069,0.0001743015,0.5057607,0.006224766,0.004518661,0.007794245,0.4484778],"study_design_scores_gemma":[0.000006980083,0.0000635695,0.002671981,0.00001213884,0.00001791399,0.00002956096,0.00002025747,0.9938138,0.001351115,0.0009176305,0.001080708,0.00001442428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.486938,0.002526309,0.4785762,0.001542352,0.0006615049,0.0004028554,0.003734779,0.005362456,0.02025547],"genre_scores_gemma":[0.8832544,0.0008445849,0.107758,0.0001037782,0.0001134495,0.0001303405,0.001937562,0.00009876622,0.005759157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01151596,"threshold_uncertainty_score":0.0228979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955512162981902,"score_gpt":0.2229485374988582,"score_spread":0.2033934158690392,"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."}}