{"id":"W4328025155","doi":"10.5267/j.uscm.2023.2.001","title":"THE EFFECT OF SUPPLY CHAIN COLLABORATION ON SUPPLY CHAIN PERFORMANCE THROUGH PRODUCTION TECHNOLOGY, NEW PRODUCT DEVELOPMENT, AND PRODUCT KNOWLEDGE","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; New product development; Product (mathematics); Supply chain management; Service management; Production (economics); Product management; Demand chain; Supply chain risk management; Industrial organization; Process management; Marketing; Economics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004672237,0.0008228346,0.0007128749,0.00141259,0.00136404,0.0004863948,0.0009816203,0.0001494904,0.00006261408],"category_scores_gemma":[0.000487622,0.0006455188,0.0001218807,0.005114641,0.0004297848,0.001108901,0.0009845857,0.0004224449,0.0003796349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026923,"about_ca_system_score_gemma":0.0001001092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882861,"about_ca_topic_score_gemma":0.000433592,"domain_scores_codex":[0.994916,0.0001968855,0.00111558,0.00157984,0.0009960397,0.001195687],"domain_scores_gemma":[0.9975206,0.0001974427,0.0005902575,0.001361895,0.0002771558,0.00005265278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001403254,0.0004831563,0.0521335,0.007768871,0.0008475657,0.00005582287,0.00361511,0.006044586,0.0005657162,0.1061375,0.2409931,0.5799519],"study_design_scores_gemma":[0.002510855,0.000382418,0.0186906,0.0007711851,0.0002335764,0.000004147743,0.004080448,0.004155078,0.008797335,0.002840427,0.9564058,0.001128155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960065,0.002022624,0.0003394452,0.07125717,0.003257442,0.01205559,0.00002038957,0.001518303,0.01352249],"genre_scores_gemma":[0.9688304,0.001161013,0.0006957231,0.0004412445,0.001475979,0.001385272,0.0004096926,0.0001270399,0.02547362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7154127,"threshold_uncertainty_score":0.999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736599142079734,"score_gpt":0.2564545421090486,"score_spread":0.2390885506882513,"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."}}