{"id":"W1999518031","doi":"10.1016/j.tcs.2005.10.045","title":"Hierarchies for classes of priority algorithms for Job Scheduling","year":2005,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":[0.003251391,0.001201562,0.001539484,0.002197068,0.002533742,0.004791013,0.003238206,0.001612584,0.01207697],"category_scores_gemma":[0.01683826,0.00107626,0.001671104,0.002820728,0.001587552,0.00672829,0.002936036,0.005289893,0.002688257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003307664,"about_ca_system_score_gemma":0.002015047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003846225,"about_ca_topic_score_gemma":0.005137337,"domain_scores_codex":[0.9964161,0.001022343,0.0002463781,0.0004331863,0.001168004,0.0007139787],"domain_scores_gemma":[0.9929381,0.004073051,0.0004348335,0.001072746,0.0008501894,0.0006309915],"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":[0.0001934687,0.0001236025,0.0004123634,0.0002361772,0.00002898312,0.00005337836,0.0002858006,0.007121705,0.00117176,0.904896,0.01855466,0.06692215],"study_design_scores_gemma":[0.00007437156,0.00005403938,0.0003393359,0.0000612691,0.00003237013,0.00009288276,0.00007663445,0.05728827,0.0004360406,0.919127,0.02239244,0.00002526599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02140226,0.003604254,0.9341871,0.002240439,0.00076373,0.0002752949,0.0006413235,0.001501726,0.03538385],"genre_scores_gemma":[0.3265291,0.004112534,0.635886,0.002398469,0.002148282,0.001210091,0.002251684,0.001370029,0.02409396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01207697,"threshold_uncertainty_score":0.04040152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545693012590042,"score_gpt":0.2709783979063136,"score_spread":0.2555214677804131,"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."}}