{"id":"W4224924221","doi":"10.1007/s12063-021-00233-9","title":"Production scheduling optimization for parallel machines subject to physical distancing due to COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Operations Management Research","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Heuristics; Scheduling (production processes); Operations research; Mathematical optimization; Metaheuristic; Time horizon; Linear programming; Job shop scheduling; Schedule; Industrial engineering; Engineering; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.001329333,0.0001353571,0.0001402657,0.0005866457,0.001377046,0.0002242455,0.0002677509,0.00002224072,0.0001344432],"category_scores_gemma":[0.0003623766,0.0001502558,0.00004401515,0.001487738,0.00001703062,0.0001585884,0.0001963167,0.0002385235,0.00002852694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006506073,"about_ca_system_score_gemma":0.00005500983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000373692,"about_ca_topic_score_gemma":0.00006378853,"domain_scores_codex":[0.9983143,0.0001361792,0.0002182325,0.0004178354,0.0005271159,0.0003863652],"domain_scores_gemma":[0.9992129,0.00008561572,0.00001033295,0.0003216315,0.000160481,0.0002090444],"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":[0.00003722154,0.00006240571,0.00006320529,0.00007873628,0.00003164332,0.000002964533,0.001015747,0.9919175,0.0002061493,0.001916932,0.001422842,0.003244658],"study_design_scores_gemma":[0.0003027749,0.00007926075,0.00003264905,0.000009522671,0.00001154052,0.000004131268,0.001287795,0.9939247,0.00005407156,0.0000947101,0.004018731,0.0001801585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03823512,0.000035408,0.9556845,0.002673926,0.0003344864,0.002156516,0.00002529049,0.0003469278,0.000507795],"genre_scores_gemma":[0.3868462,0.00002925374,0.6041408,0.0003131986,0.0003735237,0.005088088,0.0003087017,0.00007184892,0.00282835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3515438,"threshold_uncertainty_score":0.9999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06383921959644032,"score_gpt":0.3673449475933199,"score_spread":0.3035057279968796,"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."}}