{"id":"W2942755285","doi":"10.1007/s00453-020-00728-0","title":"Online Bin Covering with Advice","year":2020,"lang":"en","type":"article","venue":"Algorithmica","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natur og Univers, Det Frie Forskningsråd","keywords":"Advice (programming); Bin; Competitive analysis; Online algorithm; Bin packing problem; Binary logarithm; Mathematics; Theory of computation; Combinatorics; Computer science; Algorithm; Discrete mathematics; Upper and lower bounds","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":[],"consensus_categories":[],"category_scores_codex":[0.00004571315,0.00007449124,0.00008411059,0.00002816199,0.00005550697,0.00008859575,0.0004412014,0.00002146299,0.00003704712],"category_scores_gemma":[0.00001778302,0.00006112297,0.00001774899,0.0004266893,0.00002000744,0.0002862252,0.0001490211,0.0001086315,0.0000966329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068896,"about_ca_system_score_gemma":0.00005384567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001405159,"about_ca_topic_score_gemma":0.000002724621,"domain_scores_codex":[0.9992752,0.00002283178,0.00009721414,0.0002372841,0.0001949903,0.0001724532],"domain_scores_gemma":[0.9995455,0.00002580201,0.00002937891,0.0001871295,0.00006103142,0.0001511928],"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":[0.00008720313,0.0008948233,0.0009072768,0.0001813925,0.0002258972,0.0004603204,0.009830072,0.07797402,0.003134917,0.06088867,0.02893349,0.8164819],"study_design_scores_gemma":[0.0002800215,0.0001597899,0.0001089609,0.000008949503,0.000001795736,0.000007770916,0.00002522929,0.9669541,0.0006260182,0.00008886855,0.03161834,0.0001202082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007947291,0.0000285513,0.9844674,0.01195123,0.00004399083,0.0001024637,0.00000491207,0.000366025,0.002240631],"genre_scores_gemma":[0.08080465,0.00002264289,0.9111117,0.007487105,0.0001455986,0.00000768488,0.00001418677,0.0000161739,0.0003902407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.88898,"threshold_uncertainty_score":0.2492522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001191323843362,"score_gpt":0.2351358559611555,"score_spread":0.2151239427227219,"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."}}