{"id":"W7007885591","doi":"","title":"Agent-based manufacturing scheduling: an overview","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006415665,0.0008038174,0.0007782676,0.001060787,0.0003481192,0.001759516,0.0008710739,0.0009584018,0.007477271],"category_scores_gemma":[0.0006714989,0.0006896099,0.0004517871,0.002293227,0.0003309472,0.001418882,0.0005190255,0.001210002,0.005093751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000595131,"about_ca_system_score_gemma":0.0006921362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020729,"about_ca_topic_score_gemma":0.003276483,"domain_scores_codex":[0.9997242,0.00005534802,0.00002292195,0.00006281126,0.0001192857,0.00001549321],"domain_scores_gemma":[0.9997392,0.0001175801,0.000010841,0.00002562874,0.00008325234,0.00002338184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001739999,0.0003029544,0.0003082965,0.00110899,0.00007942871,0.0001086405,0.00005570709,0.03818244,0.003751229,0.0293307,0.05073751,0.8758601],"study_design_scores_gemma":[0.0001072086,0.0002127084,0.0008703122,0.0004220385,0.00009212228,0.0005870793,0.00006749323,0.2191904,0.004318343,0.06903437,0.7050387,0.00005917857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00346233,0.1380244,0.7798934,0.002029352,0.001726143,0.0001838304,0.0002588835,0.002151707,0.0722699],"genre_scores_gemma":[0.06262029,0.218605,0.635986,0.001336343,0.003225156,0.0003600738,0.001216968,0.000485157,0.07616501],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007477271,"threshold_uncertainty_score":0.02501398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04809670682625367,"score_gpt":0.2525895905180821,"score_spread":0.2044928836918284,"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."}}