{"id":"W4252209735","doi":"10.1007/978-0-387-74437-7_12","title":"Scheduling Algorithms","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Algorithm","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":[0.0004400698,0.001463878,0.0008476946,0.0009821296,0.0007107842,0.001785133,0.001323163,0.000833724,0.04378392],"category_scores_gemma":[0.001307078,0.0005715562,0.0006556332,0.001808302,0.0006856635,0.001752634,0.0008909561,0.002144914,0.03057138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169032,"about_ca_system_score_gemma":0.001186653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303619,"about_ca_topic_score_gemma":0.001626323,"domain_scores_codex":[0.9995437,0.00006152022,0.00002037068,0.00009930133,0.0002376794,0.00003728932],"domain_scores_gemma":[0.9996172,0.0001195362,0.00001338399,0.0001253284,0.0001032894,0.00002123498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003792512,0.00008870146,0.00009697235,0.0002536027,0.00002798973,0.00003573413,0.00006118466,0.0256942,0.00213817,0.2345773,0.1932829,0.5437053],"study_design_scores_gemma":[0.00001958475,0.00003707031,0.0001802083,0.0001410886,0.00002166422,0.0001519691,0.00002998412,0.05774576,0.002984921,0.2456484,0.6930173,0.00002207668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00157106,0.008520854,0.6091411,0.001253132,0.002452663,0.0001648693,0.0006045807,0.00298172,0.3733101],"genre_scores_gemma":[0.03732518,0.01754825,0.4273128,0.001156969,0.002293429,0.0004565152,0.00286543,0.001766073,0.5092753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04378392,"threshold_uncertainty_score":0.1464719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192833074180686,"score_gpt":0.2119657228259414,"score_spread":0.1926824154078728,"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."}}