{"id":"W3048701453","doi":"10.1111/poms.13598","title":"Beyond Retail Stores: Managing Product Proliferation along the Supply Chain","year":2021,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Product proliferation; Downstream (manufacturing); Newsvendor model; Upstream (networking); Lead time; Supply chain; Flexibility (engineering); Profit (economics); Business; Product (mathematics); Computer science; Operational efficiency; Industrial organization; Process (computing); New product development; Operations management; Risk analysis (engineering); Economics; Microeconomics; Marketing; Product management","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009015073,0.0002548915,0.0001728607,0.0002912038,0.001223256,0.001051037,0.0002116411,0.0000310066,0.0005477439],"category_scores_gemma":[0.0001328318,0.0002074442,0.00006564864,0.0007995407,0.0001270131,0.001434854,0.0003650851,0.0001640232,0.000171956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000672993,"about_ca_system_score_gemma":0.00002067833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009713899,"about_ca_topic_score_gemma":0.0009356653,"domain_scores_codex":[0.9980416,0.00005557929,0.0003982045,0.0007592682,0.0004197779,0.0003256088],"domain_scores_gemma":[0.9989484,0.00000895259,0.00009240377,0.0006601778,0.0002689566,0.00002112263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005552515,0.0004802204,0.008912447,0.0009609124,0.0003522942,0.0000552479,0.001106701,0.01315085,0.0006070242,0.7824751,0.110929,0.08091465],"study_design_scores_gemma":[0.0009147307,0.00002452043,0.01773033,0.0001743555,0.0004186989,0.00003081597,0.01095725,0.0323307,0.001019598,0.005361747,0.9301823,0.0008549047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3001258,0.005469777,0.01037872,0.3909186,0.01175311,0.009360539,0.000009450571,0.001381181,0.2706028],"genre_scores_gemma":[0.9488673,0.0006646542,0.001260276,0.007443185,0.00297647,0.000549043,0.0001937744,0.00004727797,0.03799806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8192533,"threshold_uncertainty_score":0.999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766411382238551,"score_gpt":0.2189286998806354,"score_spread":0.2012645860582499,"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."}}