{"id":"W1587435078","doi":"","title":"Retail Forecast Holiday 2009","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Recession; Business; Retail sales; Winter season; Retail trade; Advertising; Marketing; Summer season; Great recession; Economics; Geography; Commerce; Meteorology; Macroeconomics; Labour economics; Climatology","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":[0.0007480272,0.0007284196,0.0006240761,0.001588571,0.00062323,0.003245597,0.0007602648,0.0009640161,0.03997004],"category_scores_gemma":[0.002541555,0.0002558151,0.0004744414,0.001754151,0.000138878,0.001564369,0.0005575473,0.001662415,0.03113061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225438,"about_ca_system_score_gemma":0.0009815557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1421109,"about_ca_topic_score_gemma":0.1905222,"domain_scores_codex":[0.9995342,0.00001870586,0.00002244258,0.00009720059,0.0002656271,0.00006188045],"domain_scores_gemma":[0.9982793,0.00009425809,0.00008997515,0.0001196113,0.001304054,0.0001128132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002326171,0.00004110916,0.005249494,0.00006758919,0.00001725647,0.00004441103,0.00002586439,0.002338003,0.0003392453,0.002038012,0.9649131,0.02469331],"study_design_scores_gemma":[0.0000717596,0.00009706722,0.04387955,0.0001186764,0.00004298813,0.0000541721,0.0002678538,0.02405688,0.002830996,0.001632553,0.9268848,0.0000626835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05715816,0.004919824,0.01119908,0.0133915,0.01154722,0.0001432351,0.6304497,0.007742078,0.2634493],"genre_scores_gemma":[0.1840958,0.003026177,0.006031687,0.001406977,0.002147463,0.00008748627,0.6092576,0.002109242,0.1918375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1421109,"threshold_uncertainty_score":0.2825674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357846603632157,"score_gpt":0.2622287677165434,"score_spread":0.2086503016802218,"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."}}