{"id":"W4384694506","doi":"10.1287/deca.2022.0063","title":"Assortment Planning with Satisficing Customers","year":2023,"lang":"en","type":"article","venue":"Decision Analysis","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Satisficing; Bounded rationality; Profit (economics); Economics; Microeconomics; Computer science; Expected utility hypothesis; Heuristics; Operations research; Marketing; Mathematical economics; Business; Mathematics","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":[0.001388991,0.001293426,0.001199522,0.000632434,0.0008310229,0.001820876,0.001884681,0.001339929,0.01807933],"category_scores_gemma":[0.004129052,0.0006947496,0.001138665,0.001251195,0.0009164395,0.002072724,0.001232001,0.001822404,0.0008709805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010228,"about_ca_system_score_gemma":0.002055007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009693323,"about_ca_topic_score_gemma":0.01191535,"domain_scores_codex":[0.9990317,0.0003135773,0.00004943094,0.0002058022,0.0001388516,0.0002607257],"domain_scores_gemma":[0.9975933,0.001557591,0.0002696963,0.0001334693,0.0001464844,0.0002992884],"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":[0.0003822531,0.0003147946,0.003077782,0.0002121388,0.00006770813,0.0006467504,0.0002324114,0.8809021,0.002167331,0.0696526,0.004399566,0.03794463],"study_design_scores_gemma":[0.00003231625,0.00007966041,0.0005447429,0.00002719404,0.00002688479,0.00009887329,0.0001523919,0.9533423,0.001116721,0.04258353,0.001974831,0.00002051211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3060328,0.000744423,0.6486361,0.001955568,0.00008940691,0.0006214094,0.001462749,0.000534584,0.039923],"genre_scores_gemma":[0.8693061,0.0004155577,0.1168551,0.0001735684,0.00002278333,0.0002435986,0.0006040461,0.0001115666,0.01226769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01807933,"threshold_uncertainty_score":0.06048143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621768022016193,"score_gpt":0.2645789567707593,"score_spread":0.2383612765505973,"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."}}