{"id":"W2019692413","doi":"10.1007/s10951-013-0350-0","title":"Single-machine scheduling with periodic maintenance to minimize makespan revisited","year":2013,"lang":"en","type":"article","venue":"Journal of Scheduling","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Southeast University","keywords":"Job shop scheduling; Computer science; Scheduling (production processes); Mathematical optimization; Upper and lower bounds; Schedule; Single-machine scheduling; Algorithm; Mathematics","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":[0.0004303875,0.0003111665,0.0005169275,0.0004047608,0.0001194998,0.0002894721,0.0003427181,0.0001156213,0.0002338745],"category_scores_gemma":[0.0003098573,0.0002482567,0.0001386201,0.0005506235,0.00004460909,0.0004969958,0.00003363122,0.0005812194,0.0001140517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443171,"about_ca_system_score_gemma":0.00005676128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000630232,"about_ca_topic_score_gemma":0.000001659378,"domain_scores_codex":[0.9980317,0.00003938172,0.0007961633,0.0002115841,0.0004538635,0.0004672996],"domain_scores_gemma":[0.9983351,0.00009680725,0.0002580847,0.000262254,0.000624892,0.0004228231],"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":[0.00006264964,0.00005379949,0.001420896,0.00007540428,0.0001308264,0.00004794765,0.0006591891,0.9771065,0.01095259,0.00003077613,0.0001316224,0.009327842],"study_design_scores_gemma":[0.002707808,0.0004528851,0.001827308,0.001932504,0.0001344826,0.000761623,0.001950017,0.9801913,0.007691701,0.00007564119,0.001367903,0.0009067749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4536605,0.001452805,0.5424584,0.0009371463,0.0004642225,0.0002134422,0.000003272144,0.0001720008,0.0006382311],"genre_scores_gemma":[0.4679732,0.00005693578,0.5312856,0.0002540048,0.0002900072,0.000005742009,0.000002158451,0.00005719773,0.00007511114],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01431276,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117849571369775,"score_gpt":0.212332870394864,"score_spread":0.2011543746811663,"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."}}