{"id":"W7043316303","doi":"","title":"Service selection in stochastic environments: a learning-automaton based solution","year":2011,"lang":"en","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality (philosophy); Convergence (economics); Scheme (mathematics); Learning automata; Extension (predicate logic); Empirical research; Service (business); Service provider","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":[0.001457482,0.0008503514,0.001844946,0.000837983,0.0008788473,0.00131609,0.001760559,0.003133334,0.00484917],"category_scores_gemma":[0.005952073,0.0006230316,0.0009510648,0.0008983171,0.001257501,0.0009254994,0.001852935,0.001795693,0.0005529359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251535,"about_ca_system_score_gemma":0.002743884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755393,"about_ca_topic_score_gemma":0.01204012,"domain_scores_codex":[0.9992089,0.0002860591,0.00004578045,0.0001832221,0.0001337573,0.0001424003],"domain_scores_gemma":[0.9958451,0.003255235,0.0002046838,0.0001181644,0.0004048469,0.0001719754],"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":[0.00003412695,0.00002867924,0.0002941221,0.00003773296,0.0000163811,0.00003221017,0.00002738098,0.9846488,0.0001779135,0.003511805,0.0005134236,0.01067745],"study_design_scores_gemma":[0.000008681558,0.00000911805,0.00002454098,0.000004182582,0.000003448677,0.000005615877,0.000006232195,0.9980647,0.00006078895,0.001701023,0.0001097821,0.000001901791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03926028,0.0003369818,0.9502835,0.001089116,0.0001159456,0.0001239954,0.0001636006,0.0004929765,0.008133641],"genre_scores_gemma":[0.7432117,0.0002477698,0.2480504,0.0003376247,0.0001041574,0.0003809297,0.0002480826,0.0001151805,0.007303966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01755393,"threshold_uncertainty_score":0.03490353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606186426915166,"score_gpt":0.2451019380535163,"score_spread":0.2190400737843646,"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."}}