{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006143131,0.0003504477,0.000228439,0.0004278852,0.003519204,0.002022992,0.001165203,0.0000743554,0.001206799],"category_scores_gemma":[0.00004877994,0.0002196795,0.00007830609,0.005209623,0.0001911444,0.001134837,0.0007582895,0.0001726023,0.002589635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008120225,"about_ca_system_score_gemma":0.00004405491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355592,"about_ca_topic_score_gemma":0.004413607,"domain_scores_codex":[0.9978314,0.00003535455,0.0004562247,0.0005843877,0.0005708482,0.0005217903],"domain_scores_gemma":[0.9980538,0.00004053541,0.0001436319,0.000872848,0.0008610871,0.00002805708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001750354,0.0002897977,0.000870825,0.000192111,0.0001834214,0.00001373054,0.0002009995,0.0191807,0.0003558646,0.02900588,0.8871596,0.06237198],"study_design_scores_gemma":[0.0003335677,0.00001934664,0.02523666,0.0001112844,0.0001635917,0.000009056626,0.0008522501,0.03062185,0.00006276841,0.0009465961,0.9412172,0.0004257905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1026236,0.0005408736,0.3844489,0.07309023,0.01676287,0.008538206,0.00003222852,0.001895027,0.4120681],"genre_scores_gemma":[0.9683391,0.00003597556,0.0003594171,0.006225591,0.003515941,0.0001771429,0.00006336073,0.00005389397,0.02122954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8657156,"threshold_uncertainty_score":0.9997062,"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."}}