{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005732656,0.0001484876,0.0001594877,0.001149836,0.0001578314,0.0002825603,0.001104896,0.00008801033,0.00000274083],"category_scores_gemma":[0.0001585123,0.0001168696,0.00001581343,0.002981768,0.0003171213,0.0009729948,0.0004792793,0.000187847,0.00004446027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004680905,"about_ca_system_score_gemma":0.00008441656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003233598,"about_ca_topic_score_gemma":0.000002561164,"domain_scores_codex":[0.9984316,0.000006982324,0.0002089299,0.0007471868,0.000251321,0.0003539308],"domain_scores_gemma":[0.9990729,0.00005928889,0.00002890869,0.000746394,0.00003772236,0.00005476769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001232453,0.0001029349,0.0004381621,0.0001785564,0.00003577405,0.0004219073,0.0004933358,0.07932401,0.03472826,0.8087665,0.0009068362,0.07459137],"study_design_scores_gemma":[0.00006378212,0.0001112583,0.00008859655,0.0001453534,0.000004267404,0.00005358348,0.0000101647,0.9817869,0.002668099,0.0003860591,0.01455344,0.0001284829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4688672,0.003709382,0.4567447,0.04657172,0.005144229,0.001361468,0.0001830692,0.0128128,0.004605415],"genre_scores_gemma":[0.9715468,0.0000271782,0.02822502,0.000009967059,0.00005385322,0.0000135718,0.00000737509,0.00001027897,0.000105969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9024629,"threshold_uncertainty_score":0.4765805,"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."}}