{"id":"W204541363","doi":"","title":"Online Learning with Global Cost Functions","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Regret; Mathematical optimization; Job shop scheduling; Computer science; Scheduling (production processes); Function (biology); Decision maker; Norm (philosophy); Operations research; Mathematics; Machine learning; Schedule","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":[0.003407752,0.002152683,0.002181553,0.000642582,0.0004798222,0.001959227,0.001986303,0.001969813,0.0043214],"category_scores_gemma":[0.01104616,0.0005256139,0.0006895689,0.0009734217,0.001728745,0.00372266,0.002159218,0.00242454,0.0006366133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580827,"about_ca_system_score_gemma":0.001398103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343494,"about_ca_topic_score_gemma":0.001822201,"domain_scores_codex":[0.9983746,0.0006954297,0.00006877509,0.0003537283,0.0002558414,0.0002515806],"domain_scores_gemma":[0.9937411,0.004559921,0.0004594547,0.0005050268,0.0004682504,0.0002662916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001395439,0.00008198632,0.0004059947,0.00006912393,0.0000339699,0.00005780728,0.00002467531,0.9574476,0.0002799378,0.01906483,0.0007426528,0.02165189],"study_design_scores_gemma":[0.00001445573,0.00003765168,0.00004052041,0.000005478217,0.000006336301,0.000009382244,0.000005962062,0.9869915,0.0001868864,0.01251865,0.0001791246,0.000004014046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02250734,0.0003716216,0.9732891,0.000493049,0.00004320888,0.00005606317,0.00008494392,0.0002687619,0.002885979],"genre_scores_gemma":[0.8225779,0.0005621068,0.1678213,0.0003523912,0.0001698504,0.0004074217,0.0003184945,0.0001289191,0.007661574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0043214,"threshold_uncertainty_score":0.01802212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174743332298169,"score_gpt":0.4665678340823299,"score_spread":0.349093500852513,"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."}}