{"id":"W2323947924","doi":"10.1061/40671(2003)113","title":"A Generalized Paradigm for Planning and Scheduling","year":2003,"lang":"en","type":"article","venue":"","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scheduling (production processes); Automated planning and scheduling; Schedule; Dynamic priority scheduling; Visualization; Industrial engineering; Theoretical computer science; Artificial intelligence; Mathematical optimization; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00335756,0.001288964,0.0009558024,0.001222212,0.001670948,0.003171481,0.003047894,0.001506463,0.005496315],"category_scores_gemma":[0.003141792,0.0007306207,0.00207786,0.002261072,0.002755754,0.005056591,0.003124814,0.004749169,0.002121541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889434,"about_ca_system_score_gemma":0.003928259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005216502,"about_ca_topic_score_gemma":0.007845582,"domain_scores_codex":[0.9964541,0.001461494,0.0002710922,0.0006827129,0.0009001812,0.0002304522],"domain_scores_gemma":[0.9982941,0.0006483765,0.0001182735,0.0004744184,0.0003118242,0.0001530795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002888879,0.00001794362,0.00009371366,0.0001555181,0.00001868965,0.000113189,0.0003046701,0.01698151,0.001114437,0.9463929,0.003442429,0.03133618],"study_design_scores_gemma":[0.0000415963,0.00005688246,0.00008131292,0.00007614401,0.00002286408,0.0002815957,0.0001344013,0.07810427,0.0005999586,0.8066816,0.1138837,0.00003579955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007525523,0.0002728126,0.9921938,0.0004005597,0.0001003074,0.00009591976,0.0001017046,0.0001896386,0.005892731],"genre_scores_gemma":[0.02627168,0.0008868082,0.9674928,0.00034338,0.0001410355,0.0006156535,0.0003237585,0.000113519,0.003811404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005496315,"threshold_uncertainty_score":0.01838702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1805531478270714,"score_gpt":0.4150469127942156,"score_spread":0.2344937649671441,"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."}}