{"id":"W4379191644","doi":"10.1016/j.tre.2023.103180","title":"Production outsourcing decision in the presence of consumer’s preference uncertainty","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences","keywords":"Business; Outsourcing; Quality (philosophy); Competition (biology); Coopetition; Supply chain; Store brand; Upstream (networking); Product (mathematics); Preference; Marketing; Industrial organization; Downstream (manufacturing); Context (archaeology); Incentive; Computer science; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00333525,0.0002680005,0.0007708171,0.0003986157,0.0005021792,0.001766218,0.0005822054,0.001119512,0.005123],"category_scores_gemma":[0.005924399,0.0003104278,0.0007999082,0.000765343,0.0006874995,0.001756811,0.000552486,0.001272473,0.0001837909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083794,"about_ca_system_score_gemma":0.001411336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01737181,"about_ca_topic_score_gemma":0.01372392,"domain_scores_codex":[0.9990478,0.0003862249,0.00002958157,0.0001017273,0.0001279136,0.000306721],"domain_scores_gemma":[0.992382,0.006410905,0.0003280948,0.0001268146,0.0004216034,0.000330581],"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":[0.01092302,0.001657707,0.1822538,0.0009029411,0.0007415515,0.007595319,0.00315913,0.4708586,0.004771985,0.1707637,0.01513798,0.1312341],"study_design_scores_gemma":[0.0002090907,0.0005286427,0.05977864,0.00007438853,0.0003099156,0.0004529467,0.004913385,0.8913559,0.001266135,0.0378125,0.003177904,0.0001205865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734765,0.0007769743,0.0101022,0.002176951,0.00004427617,0.00004343122,0.0001430897,0.00001151742,0.01322504],"genre_scores_gemma":[0.9978714,0.0002736224,0.0005023594,0.00004083793,0.00001961388,0.000006234851,0.00003953828,0.000002253033,0.001244181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01737181,"threshold_uncertainty_score":0.03454137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2183723402874796,"score_gpt":0.3664369211225496,"score_spread":0.14806458083507,"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."}}