{"id":"W3184272491","doi":"10.1007/978-3-030-80906-5_10","title":"A Novel Analysis Framework of 4.0 Production Planning Approaches – Part II","year":2021,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Agile software development; Exploit; Production planning; Production (economics); Productivity; Resource planning; Enterprise resource planning; Computer science; Resource (disambiguation); Management science; Operations research; Engineering; Knowledge management; Environmental resource management; Economics; Software 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016763,0.0002737618,0.0005375983,0.0004323933,0.00006163515,0.00001838674,0.0001655315,0.0002170657,0.00005892659],"category_scores_gemma":[0.0001170009,0.0003078032,0.000165493,0.0004138334,0.000234545,0.000144953,0.00008519179,0.000498922,0.000007122514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426181,"about_ca_system_score_gemma":0.00003903397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.948578e-7,"about_ca_topic_score_gemma":0.000004001898,"domain_scores_codex":[0.998386,0.000006413408,0.00076656,0.0003027791,0.0003852096,0.0001530986],"domain_scores_gemma":[0.9990407,0.0003490739,0.0001414108,0.0001918098,0.0002489775,0.00002808057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003060056,0.0000194837,0.0000390438,0.0002798683,0.001458558,0.000003160525,0.001480082,0.8662308,3.046042e-7,0.1277942,0.0001962435,0.00249516],"study_design_scores_gemma":[0.0002640765,0.0002200111,0.0005117866,0.01692761,0.002106724,0.00009496402,0.01612901,0.3454525,0.001535111,0.5896501,0.02338114,0.00372698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005158664,0.01019652,0.7015613,0.0001316947,0.002103594,0.0003914054,0.00016624,0.0001876821,0.2847457],"genre_scores_gemma":[0.9007058,0.001822006,0.0681231,0.00004749083,0.000734831,0.0001331459,0.000628285,0.0001401129,0.02766525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9001899,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138876947224386,"score_gpt":0.3316187049053546,"score_spread":0.117731010182916,"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."}}