{"id":"W2157337937","doi":"10.2139/ssrn.1851046","title":"Clickstream Data and Inventory Management: Model and Empirical Analysis","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Clickstream; Data science; Computer science; Econometrics; Economics; World Wide Web; The Internet","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":[0.005013112,0.001579084,0.001961511,0.002913774,0.0008446078,0.004900448,0.002445218,0.002716618,0.008617255],"category_scores_gemma":[0.01732201,0.001140985,0.001884218,0.004725819,0.001403085,0.007347193,0.001006917,0.002641496,0.001263467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004013361,"about_ca_system_score_gemma":0.003320412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.071251,"about_ca_topic_score_gemma":0.04414215,"domain_scores_codex":[0.9987177,0.0005280752,0.00006886633,0.0002155434,0.0002299284,0.0002400716],"domain_scores_gemma":[0.9706367,0.02550556,0.001728002,0.0004424604,0.001180087,0.0005072054],"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":[0.001173562,0.002093875,0.1811834,0.0005692891,0.0007204028,0.0005877323,0.000870724,0.6484109,0.00109751,0.1043548,0.01172314,0.04721468],"study_design_scores_gemma":[0.0000715513,0.0001788678,0.01072704,0.00005060015,0.0002353286,0.0000987844,0.0002504911,0.9738517,0.0002105625,0.01346921,0.0008085452,0.00004723668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188611,0.00388782,0.05691028,0.005215931,0.0001925079,0.000278151,0.003764851,0.0007315287,0.01015787],"genre_scores_gemma":[0.9844717,0.002119795,0.005517392,0.0001436578,0.0001154533,0.0001161514,0.001528434,0.00005715698,0.005930228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.071251,"threshold_uncertainty_score":0.1416726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215519486116157,"score_gpt":0.3109460807107157,"score_spread":0.1893941320990999,"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."}}