{"id":"W2132250980","doi":"10.1108/jm2-10-2011-0050","title":"Military supply chain flexibility measures","year":2014,"lang":"en","type":"article","venue":"Journal of Modelling in Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Flexibility (engineering); Supply chain; Computer science; Risk analysis (engineering); Operations management; Operations research; Business; Marketing; Engineering; Mathematics; Statistics","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":[0.004970889,0.001011399,0.0003665988,0.006671437,0.0006143413,0.002286992,0.001024068,0.0005529043,0.00691078],"category_scores_gemma":[0.02069443,0.0001953731,0.0008484983,0.008249437,0.0009013016,0.003813505,0.001488466,0.0007876476,0.0008857467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275709,"about_ca_system_score_gemma":0.000914429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087787,"about_ca_topic_score_gemma":0.002034265,"domain_scores_codex":[0.993001,0.00171387,0.0007120401,0.0005110894,0.003703873,0.0003581698],"domain_scores_gemma":[0.9777248,0.007986817,0.007076584,0.001875621,0.004610435,0.0007258024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007513299,0.0006049141,0.3549974,0.001417793,0.0008397499,0.0003617792,0.002079846,0.1645525,0.005194883,0.07293156,0.009498982,0.3867692],"study_design_scores_gemma":[0.00006154659,0.003600675,0.6705312,0.001834744,0.0003640752,0.001355657,0.0092822,0.1483724,0.01170544,0.06759026,0.08477695,0.000524763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7157016,0.004442303,0.1292146,0.001314052,0.0002082773,0.0009436265,0.007386231,0.0005576052,0.1402317],"genre_scores_gemma":[0.98416,0.000414107,0.01162347,0.00004735069,0.00004972917,0.0001652026,0.001625052,0.00001774295,0.001897326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00691078,"threshold_uncertainty_score":0.02628893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298141699564275,"score_gpt":0.2451391316646486,"score_spread":0.2021577146690059,"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."}}