{"id":"W3091971017","doi":"10.1002/nav.21951","title":"Cost‐raising internalization in supply chain design","year":2020,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Stylized fact; Profitability index; Business; Industrial organization; Competition (biology); Microeconomics; Raising (metalworking); Economics; Marketing","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":[0.003450546,0.0006590174,0.0007136199,0.0007157773,0.001329266,0.0029693,0.001017119,0.00143911,0.00354115],"category_scores_gemma":[0.008542893,0.0006258368,0.0008297529,0.0006749813,0.003995626,0.003174547,0.002626296,0.001748219,0.0001759785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004865385,"about_ca_system_score_gemma":0.003193396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986753,"about_ca_topic_score_gemma":0.00328045,"domain_scores_codex":[0.9962994,0.001959477,0.0001182295,0.0002907211,0.0006642353,0.0006679578],"domain_scores_gemma":[0.9929776,0.004101864,0.001032665,0.0007399035,0.0007536601,0.0003943475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001387324,0.0001893628,0.003915368,0.0002101612,0.00008951301,0.0003862303,0.0008714362,0.3117624,0.004272714,0.6498841,0.0005857731,0.0276943],"study_design_scores_gemma":[0.00005949609,0.0002729163,0.002757219,0.0001285954,0.0001129285,0.0002357521,0.001144425,0.4525018,0.003792134,0.5349558,0.003956961,0.00008195268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4809154,0.0005015328,0.4523106,0.001835944,0.00004304932,0.0002726302,0.00003751134,0.00007614779,0.06400703],"genre_scores_gemma":[0.9881593,0.00009858031,0.01033773,0.00003807615,0.000008122853,0.00004087087,0.000005446191,0.000005215629,0.001306625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004865385,"threshold_uncertainty_score":0.03530097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4449113084491055,"score_gpt":0.3947561887521174,"score_spread":0.0501551196969881,"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."}}