{"id":"W2602868127","doi":"10.24963/ijcai.2017/278","title":"Bernoulli Rank-1 Bandits for Click Feedback","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Regret; Bernoulli's principle; Rank (graph theory); Position (finance); Computer science; Bounded function; Product (mathematics); Mathematics; Algorithm; Combinatorics; Machine learning","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":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005639473,0.0005263555,0.001144284,0.000568228,0.0007602947,0.002177547,0.00618203,0.0007122125,0.002926982],"category_scores_gemma":[0.01479473,0.0003706185,0.0007299201,0.0002065483,0.000450761,0.0004575482,0.003895822,0.001079821,0.003218768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644138,"about_ca_system_score_gemma":0.000600388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115339,"about_ca_topic_score_gemma":0.0001929534,"domain_scores_codex":[0.9919838,0.0001961963,0.00119621,0.002069404,0.003583955,0.0009704586],"domain_scores_gemma":[0.988667,0.003772859,0.0008853051,0.004408743,0.001854051,0.000412002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003722463,0.0001841393,0.001234697,0.0001111495,0.0001931809,0.00003874295,0.0003237678,0.004509761,0.00004059291,0.001132207,0.5605967,0.4312628],"study_design_scores_gemma":[0.001642257,0.0001169938,0.003571575,0.000080571,0.00002696615,0.000008627107,0.0001341037,0.01821712,0.00110529,0.4441391,0.5302209,0.0007365999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002801461,0.0008036362,0.93163,0.006211245,0.005899351,0.003499433,0.0009337723,0.0002240043,0.04799706],"genre_scores_gemma":[0.1351413,0.0007145871,0.09808184,0.0005153912,0.005084095,0.001370353,0.0003338369,0.000250762,0.7585079],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8335482,"threshold_uncertainty_score":0.9998746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3279068753148421,"score_gpt":0.5299592419994449,"score_spread":0.2020523666846028,"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."}}