{"id":"W4304172326","doi":"10.3390/su141912562","title":"Modeling of the Master Production Schedule for the Digital Transition of Manufacturing SMEs in the Context of Industry 4.0","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Digitization; Agile software development; Schedule; Process management; Digital transformation; Process (computing); Context (archaeology); Manufacturing engineering; Novelty; Production (economics); Software deployment; Industry 4.0; Production planning; 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":[0.0008593054,0.0004798391,0.0002710882,0.0007249543,0.0005722869,0.001637056,0.0008451214,0.0009165197,0.007132084],"category_scores_gemma":[0.001826993,0.0003782629,0.0008053297,0.0006689863,0.0004573539,0.001047305,0.0008164521,0.0007103694,0.0007777839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837477,"about_ca_system_score_gemma":0.002865086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02796904,"about_ca_topic_score_gemma":0.01749264,"domain_scores_codex":[0.9996488,0.0001301384,0.00002049596,0.0000550033,0.00009172521,0.00005382824],"domain_scores_gemma":[0.9994509,0.0002753854,0.00008308034,0.0000393088,0.0001089609,0.00004234799],"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":[0.00004027554,0.00002486513,0.001490863,0.00006325817,0.000007682134,0.0002417773,0.0003462137,0.9434696,0.001234003,0.04207075,0.0007071824,0.0103035],"study_design_scores_gemma":[0.00001490924,0.00004015794,0.0005992834,0.00003413411,0.000009824043,0.00005083198,0.0002654826,0.9743193,0.0008654129,0.0126526,0.01113096,0.0000169563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1372783,0.0003150121,0.8015429,0.001022381,0.00007966479,0.00039767,0.00112651,0.0006682033,0.05756937],"genre_scores_gemma":[0.8000344,0.0006134862,0.178979,0.00006980965,0.00002079857,0.000640598,0.001018484,0.0001684965,0.01845495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02796904,"threshold_uncertainty_score":0.05561244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826896508269278,"score_gpt":0.2271811624442247,"score_spread":0.2089121973615319,"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."}}