{"id":"W2090012050","doi":"10.1287/mksc.1110.0693","title":"Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis","year":2012,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Purchasing; Revenue; Product (mathematics); Context (archaeology); Economics; Business; Consumption (sociology); Stockout; Microeconomics; Marketing; Commerce","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":[0.01347482,0.0001331028,0.0001496564,0.0005109276,0.0004672741,0.000624598,0.0007236068,0.00007590067,0.0002121408],"category_scores_gemma":[0.0007539012,0.0000979437,0.00006323519,0.005432907,0.00023609,0.001771864,0.0002315152,0.0003795977,0.00001384702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007870705,"about_ca_system_score_gemma":0.00004202426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003901315,"about_ca_topic_score_gemma":0.0006723857,"domain_scores_codex":[0.998198,0.0001183245,0.0002061057,0.0003019335,0.0005924459,0.0005832448],"domain_scores_gemma":[0.9992008,0.0002638008,0.0001092457,0.000329823,0.00006246076,0.00003392782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000131536,0.00006179503,0.9870521,0.000008605122,0.000005505022,0.000002420986,0.0001185834,0.00001960062,0.00002304999,0.000356727,0.00008240977,0.012256],"study_design_scores_gemma":[0.00007823852,0.000001619729,0.9317291,0.00001036857,0.0001345254,0.000002474727,0.001055517,0.06560439,0.000001106542,0.00003083862,0.001209824,0.0001419325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694739,0.00003508234,0.0001343442,0.0006973821,0.0001700452,0.0000916402,9.776577e-7,0.00004005196,0.0293566],"genre_scores_gemma":[0.9984622,8.855999e-7,0.0001800428,0.0009920829,0.0002893053,0.00000812544,0.000007358254,0.000007137509,0.0000528589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06558479,"threshold_uncertainty_score":0.6023013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147280020498721,"score_gpt":0.3092954863369617,"score_spread":0.2778226861319745,"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."}}