{"id":"W2101721652","doi":"10.1109/ipdps.2005.23","title":"A Fixed-Structure Learning Automaton Solution to the Stochastic Static Mapping Problem","year":2005,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Automaton; Focus (optics); Heuristic; Theoretical computer science; Set (abstract data type); Learning automata; Mathematical optimization; Algorithm; Artificial intelligence; Mathematics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.000311497,0.0001016533,0.0000857666,0.0001074628,0.0003248802,0.0002783687,0.0005136224,0.00003377454,0.0001251501],"category_scores_gemma":[0.00006157905,0.00006820268,0.00002716577,0.00051636,0.00001727791,0.0003714351,0.0002293724,0.000197332,0.0002204955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006100237,"about_ca_system_score_gemma":0.0000667659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001744804,"about_ca_topic_score_gemma":0.00004332781,"domain_scores_codex":[0.9988434,0.00009857421,0.0001863073,0.0002551585,0.0002959247,0.0003206488],"domain_scores_gemma":[0.9994427,0.00006366133,0.00005040313,0.0002573601,0.00008228989,0.0001035815],"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":[9.511439e-7,0.00001109492,0.00001998751,0.000008625988,0.000006425258,4.692083e-7,0.004491206,0.9384121,0.0006117202,0.01688045,0.002917582,0.03663944],"study_design_scores_gemma":[0.0001288235,0.00003555108,0.0001970889,0.00002059034,0.000001252881,0.000009908737,0.00007708825,0.9867082,0.00008014379,0.0005908849,0.01204464,0.000105854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001213035,0.00001427103,0.9776112,0.01911437,0.00006542529,0.0003807511,6.038157e-7,0.0003703501,0.001229965],"genre_scores_gemma":[0.5778235,0.000001396072,0.4181857,0.00153304,0.00005086212,0.00002389871,0.000002669645,0.000007679919,0.002371186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5766105,"threshold_uncertainty_score":0.2834097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136027292692422,"score_gpt":0.2438545366619487,"score_spread":0.2302518073927065,"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."}}