{"id":"W2064818654","doi":"10.1002/aic.690481226","title":"Chronological decomposition heuristic for scheduling: Divide and conquer method","year":2002,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Honeywell (Canada)","funders":"","keywords":"Spec#; Scheduling (production processes); Heuristics; Operations research; Computer science; Decomposition; Mathematics; Mathematical optimization; Chemistry; Programming language","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":[0.001685391,0.0008658329,0.001438499,0.001861904,0.001266385,0.001013918,0.001633036,0.000983508,0.008145979],"category_scores_gemma":[0.002924413,0.0007154857,0.0008554588,0.002777408,0.0007176963,0.001502657,0.0008294374,0.001603898,0.001009137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232204,"about_ca_system_score_gemma":0.003588232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025556,"about_ca_topic_score_gemma":0.01508499,"domain_scores_codex":[0.9992614,0.0002765392,0.00003729618,0.0001051345,0.0001697361,0.0001498175],"domain_scores_gemma":[0.9988851,0.0005575909,0.00008163475,0.0001271426,0.0002581961,0.00009030388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008044432,0.0003871506,0.0009503585,0.0003226142,0.0001146378,0.00008641876,0.0001588069,0.5493851,0.00424603,0.04266141,0.01022594,0.3906571],"study_design_scores_gemma":[0.0001453525,0.0001144401,0.0001824746,0.00002020468,0.00004082399,0.00003599298,0.00004148183,0.9827673,0.001045131,0.0114494,0.004140356,0.00001693747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01541717,0.001221682,0.9772727,0.0002547738,0.0002269584,0.0001302017,0.00008592595,0.0005045604,0.004885994],"genre_scores_gemma":[0.1432395,0.0008766407,0.8495677,0.0001874794,0.0001521917,0.0003347787,0.0002293189,0.0001929147,0.005219407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01025556,"threshold_uncertainty_score":0.02725106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610529776044341,"score_gpt":0.2845650213634277,"score_spread":0.2584597236029842,"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."}}