{"id":"W2145627072","doi":"10.1109/saso.2007.4","title":"A Weighted Voting Mechanism for Action Selection Problem in Self-Adaptive Software","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voting; Computer science; Mechanism (biology); Action (physics); Adaptation (eye); Process (computing); Domain (mathematical analysis); Order (exchange); Action selection; Software; Selection (genetic algorithm); Data mining; 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":[0.009301968,0.0009629627,0.001896047,0.001259177,0.001130973,0.001875566,0.00451398,0.002299629,0.003933858],"category_scores_gemma":[0.01390927,0.0004991652,0.0009648789,0.001459261,0.001703253,0.003769184,0.002056425,0.002032715,0.0004854026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271698,"about_ca_system_score_gemma":0.001500883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002055286,"about_ca_topic_score_gemma":0.002119292,"domain_scores_codex":[0.9951198,0.00212237,0.0003817182,0.0009672106,0.0009515999,0.0004572136],"domain_scores_gemma":[0.9929683,0.004443211,0.0005953316,0.0007088039,0.0008501373,0.0004342921],"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":[0.0006904318,0.0004657811,0.001774718,0.0003080966,0.0003023513,0.0002414842,0.0004536135,0.6169053,0.009103832,0.1405563,0.003417594,0.2257804],"study_design_scores_gemma":[0.0001086449,0.0001573128,0.0001810246,0.00001420317,0.00004389917,0.00004962293,0.0000306823,0.9556055,0.001320465,0.04115985,0.001302471,0.00002637352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02186014,0.0001369509,0.9755871,0.0002318569,0.00006457527,0.0001743233,0.00003228793,0.0002764283,0.001636343],"genre_scores_gemma":[0.7125816,0.0001662511,0.2819341,0.0002016622,0.0001067586,0.0006334287,0.0001325036,0.00007919411,0.004164433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009301968,"threshold_uncertainty_score":0.04919416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403603753877452,"score_gpt":0.3051261521318259,"score_spread":0.2610901145930514,"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."}}