{"id":"W2963347283","doi":"10.1007/s10951-019-00622-w","title":"Single-machine scheduling with job-dependent machine deterioration","year":2019,"lang":"en","type":"article","venue":"Journal of Scheduling","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Ningbo; China Scholarship Council","keywords":"Computer science; Single-machine scheduling; Job shop scheduling; Scheduling (production processes); Schedule; Mathematical optimization; Algorithm; Mathematics; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0005445744,0.0002631914,0.0004080283,0.0003204453,0.00007874006,0.0001721897,0.0002480922,0.000124595,0.0001512897],"category_scores_gemma":[0.00006811682,0.0002157987,0.0001159842,0.0003279519,0.00002367879,0.0006027854,0.00002681668,0.0006029262,0.00006103278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435809,"about_ca_system_score_gemma":0.00005847124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004202799,"about_ca_topic_score_gemma":0.00000830878,"domain_scores_codex":[0.998266,0.00003832228,0.0006915241,0.0001749658,0.000527676,0.0003015137],"domain_scores_gemma":[0.9989238,0.0000712533,0.0003065846,0.0002196245,0.0003005623,0.0001781659],"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":[0.00005993862,0.00004037207,0.005927532,0.00006158507,0.0001078602,0.00002512257,0.0002250076,0.9618037,0.02703229,0.00003269558,0.00000246003,0.004681455],"study_design_scores_gemma":[0.002170238,0.0004253858,0.0006126277,0.0004151856,0.00008932149,0.0004498936,0.0004272826,0.980018,0.01477387,0.00004842905,0.0001438374,0.0004258881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7338845,0.00171502,0.2625454,0.0001177014,0.0009071461,0.0001141039,0.000003070554,0.0001249842,0.0005881517],"genre_scores_gemma":[0.7101382,0.00007824334,0.2893486,0.0000547302,0.000257602,0.000001256209,0.000004378403,0.00005849497,0.00005846114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02680325,"threshold_uncertainty_score":0.8800014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014554047666777,"score_gpt":0.2135125582657752,"score_spread":0.2033670177891074,"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."}}