{"id":"W4400993000","doi":"10.69645/xhym8093","title":"FedEx: aligning operations strategy to the company’s mission","year":2018,"lang":"en","type":"article","venue":"The business & management collection.","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Process management; Operations management; Industrial organization; Operations research; Aeronautics; Computer science; Engineering","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":[0.004460718,0.0009038941,0.0003860288,0.002453783,0.001087795,0.00694319,0.0009435005,0.001169352,0.00579269],"category_scores_gemma":[0.009432364,0.0003587123,0.0004119523,0.001791282,0.0006632797,0.005773191,0.00343691,0.001514218,0.003435929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029523,"about_ca_system_score_gemma":0.004326863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008517507,"about_ca_topic_score_gemma":0.00654886,"domain_scores_codex":[0.9985222,0.0005752745,0.00009960948,0.0001673328,0.0004098741,0.0002257374],"domain_scores_gemma":[0.9978207,0.0006493717,0.0001979073,0.0003601537,0.0005831395,0.0003887836],"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":[0.0005370009,0.000337695,0.009374474,0.0003518347,0.0001032086,0.0003494431,0.001621649,0.01289675,0.004902067,0.09548692,0.2268673,0.6471717],"study_design_scores_gemma":[0.0002814636,0.0004966672,0.009813162,0.0005834176,0.0001289206,0.0005235161,0.004076059,0.1705784,0.02588632,0.1336618,0.6537687,0.0002015926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1338439,0.003269873,0.4999062,0.02296481,0.002056883,0.0008540229,0.01032584,0.07564159,0.251137],"genre_scores_gemma":[0.4134871,0.001489745,0.5229293,0.001575004,0.0002781802,0.0004406881,0.01367654,0.003233114,0.04289032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008517507,"threshold_uncertainty_score":0.02359086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06016835242028107,"score_gpt":0.2933646276321499,"score_spread":0.2331962752118688,"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."}}