{"id":"W2312398210","doi":"10.1061/40513(279)128","title":"Hierarchical Scheduling: Conceptual and Implementation Issues","year":2000,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scheduling (production processes); Schedule; Conceptual framework; Management science; Knowledge management; Engineering; Operations management; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003962599,0.00006020613,0.00005772256,0.00002378398,0.00003495239,0.00003056091,0.00002894061,0.00003066545,0.004161149],"category_scores_gemma":[0.000002842617,0.00005749338,0.00001080845,0.00005884556,0.00003277825,0.00007142881,0.000003884781,0.00005743701,0.00007158739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006566508,"about_ca_system_score_gemma":0.000003717905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009230323,"about_ca_topic_score_gemma":0.000003320275,"domain_scores_codex":[0.9996525,0.000007449919,0.00009631392,0.00007901424,0.00006274277,0.0001019685],"domain_scores_gemma":[0.9998685,0.00001387488,0.000003420218,0.00005138061,0.000009608143,0.00005320673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001292644,0.00002534377,0.001690817,0.00002195329,0.00006570396,0.000006586662,0.004177467,0.2769249,0.0003295753,0.01305514,0.003893613,0.699796],"study_design_scores_gemma":[0.0009987012,0.000050154,0.001377261,0.000007993069,0.00001246856,0.00001492832,0.001934157,0.9560125,0.003625521,0.000315514,0.03534529,0.0003054599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473146,0.0006850896,0.02649376,0.0005728122,0.0002168409,0.0001342897,0.000005615007,0.0008698291,0.02370717],"genre_scores_gemma":[0.6997233,0.0005206478,0.2973016,0.0002286146,0.0003543569,0.00001052599,0.00003395062,0.0000245505,0.001802498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6994905,"threshold_uncertainty_score":0.9967492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295583826649572,"score_gpt":0.2732656642741894,"score_spread":0.2603098260076937,"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."}}