{"id":"W7112773223","doi":"","title":"A Parametric Contextual Online Learning Theory of Brokerage","year":2024,"lang":"en","type":"article","venue":"Bristol Research (University of Bristol)","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; University of Ottawa","keywords":"Regret; Asset (computer security); Parametric statistics; Context (archaeology); Online learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00552213,0.001364934,0.002640584,0.00101856,0.00103396,0.003322869,0.004032644,0.003321938,0.007768023],"category_scores_gemma":[0.03310314,0.0009980501,0.001228263,0.001569298,0.003487202,0.009176132,0.003963601,0.004723477,0.0008235454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374555,"about_ca_system_score_gemma":0.00164984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311162,"about_ca_topic_score_gemma":0.002131902,"domain_scores_codex":[0.9961079,0.00178243,0.0001424536,0.0009620214,0.000534263,0.0004709003],"domain_scores_gemma":[0.978505,0.01662988,0.001792988,0.001488701,0.0007510335,0.0008323607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002769195,0.0002353887,0.001785111,0.0002334493,0.0001048434,0.0002167588,0.000296191,0.5789507,0.0006821168,0.3853535,0.003695248,0.0281697],"study_design_scores_gemma":[0.00002611965,0.00005217018,0.0001751506,0.00001615092,0.0000182126,0.000031665,0.00002552876,0.8463206,0.0001555836,0.1523216,0.0008426605,0.00001448549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02911602,0.001059705,0.9612103,0.00179787,0.00009979973,0.000090651,0.0001830181,0.0002406547,0.006201977],"genre_scores_gemma":[0.8719036,0.001580105,0.1155947,0.0005682448,0.0005078437,0.0002876292,0.0003391199,0.0001261964,0.009092607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007768023,"threshold_uncertainty_score":0.02920419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2538802042348302,"score_gpt":0.4610343178363569,"score_spread":0.2071541136015267,"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."}}