{"id":"W3084200175","doi":"10.18280/jesa.530303","title":"An Optimal Scheduling Path Algorithm for Enterprise Resource Allocation Based on Workflow","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Workflow; Scheduling (production processes); Distributed computing; Path (computing); Algorithm; Mathematical optimization; Computer network; Mathematics; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001249648,0.0009855945,0.0008904821,0.001455692,0.0009946688,0.000862199,0.001056989,0.0008065258,0.00261822],"category_scores_gemma":[0.00225324,0.0005229581,0.001003683,0.001883592,0.0006460121,0.001631475,0.001037182,0.001175967,0.0004518593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385492,"about_ca_system_score_gemma":0.003962125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162015,"about_ca_topic_score_gemma":0.007535492,"domain_scores_codex":[0.9991986,0.0002189653,0.00004921556,0.0002183162,0.0002099252,0.000105045],"domain_scores_gemma":[0.9995019,0.0002437464,0.0000507471,0.00003880198,0.0001314591,0.00003328282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000162251,0.00007244752,0.001218393,0.0001253599,0.00005622097,0.00007164009,0.0001511095,0.6992639,0.003364413,0.02585785,0.003287427,0.2663689],"study_design_scores_gemma":[0.00001996753,0.00003540544,0.00009608926,0.000007306631,0.000007760531,0.0000267172,0.00002028236,0.9833936,0.0006709193,0.0144232,0.001289482,0.000009212906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005204758,0.0001002073,0.9936025,0.00007737259,0.00002249711,0.0000495356,0.00004572957,0.0004092567,0.0004882061],"genre_scores_gemma":[0.113129,0.0002334907,0.8844411,0.00005273995,0.00001965026,0.0002020832,0.0003102506,0.0001333277,0.00147834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01162015,"threshold_uncertainty_score":0.02310503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875294436610737,"score_gpt":0.2508646816523737,"score_spread":0.2321117372862663,"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."}}