{"id":"W2804232618","doi":"10.48550/arxiv.1806.02252","title":"Causal Bandits with Propagating Inference","year":2018,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Regret; Causal inference; Graph; Combinatorics; Upper and lower bounds; Inference; Mathematics; Discrete mathematics; Causal structure; Theoretical computer science; Algorithm; Computer science; Artificial intelligence","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":[0.007915342,0.002509103,0.003787772,0.002010825,0.001518457,0.00253629,0.003974114,0.003953321,0.009028893],"category_scores_gemma":[0.0338772,0.001508765,0.001906993,0.002500641,0.003104392,0.005176567,0.002780632,0.005464092,0.001522607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003103803,"about_ca_system_score_gemma":0.003477877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006859846,"about_ca_topic_score_gemma":0.008564839,"domain_scores_codex":[0.9951781,0.002617731,0.0002410257,0.0009284393,0.0005936341,0.0004410261],"domain_scores_gemma":[0.9704851,0.02409661,0.00175948,0.002270816,0.0008980639,0.0004899759],"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":[0.0006386352,0.0001773076,0.001416378,0.0003658297,0.0002011421,0.0001546258,0.0001308806,0.7264917,0.0006475865,0.1947962,0.00636747,0.06861228],"study_design_scores_gemma":[0.00006646403,0.00003438963,0.00009972439,0.00002815719,0.00003108928,0.00001687305,0.00001034141,0.8962876,0.0003273465,0.1021199,0.0009640869,0.0000141872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01284997,0.001036006,0.9785792,0.001211638,0.0001803803,0.0002133666,0.0004747203,0.001484606,0.003970168],"genre_scores_gemma":[0.6178166,0.001378177,0.3647142,0.00182358,0.0006568201,0.001127795,0.001443041,0.0004429229,0.01059687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009028893,"threshold_uncertainty_score":0.04186088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907063994759458,"score_gpt":0.1855571344571914,"score_spread":0.1464864945095968,"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."}}