{"id":"W2923690840","doi":"10.71781/10107","title":"Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques","year":2018,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Bureau for International Education","keywords":"Simulated annealing; Statistics; Computer science; Econometrics; Algorithm; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008973433,0.0001494553,0.0001905635,0.00009890582,0.00006767367,0.00008860003,0.0001082634,0.000207233,0.0009646963],"category_scores_gemma":[0.00001925184,0.0001629614,0.00002308904,0.0000953816,0.00001792449,0.0001949348,0.00001554662,0.0001015792,0.00001546161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002482311,"about_ca_system_score_gemma":0.00002501127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000033488,"about_ca_topic_score_gemma":0.00004371225,"domain_scores_codex":[0.9993446,0.000008587078,0.0002750737,0.0001752632,0.0001049611,0.00009146451],"domain_scores_gemma":[0.9996071,0.00001977122,0.0001264941,0.0001005073,0.000111472,0.0000346259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001304997,0.00006198146,0.00003823603,0.0008756638,0.0001855198,0.000001046517,0.000882129,0.2735479,0.002243732,0.000009347358,0.005461818,0.7165621],"study_design_scores_gemma":[0.0005249595,0.00007994565,0.000456694,0.0007501279,0.000179072,0.000001823123,0.0002533628,0.7434744,0.2295762,0.00004612445,0.02420092,0.0004563198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945311,0.0008873614,0.05953248,0.00001883091,0.000916489,0.002459241,0.0007588155,0.00008911448,0.04080659],"genre_scores_gemma":[0.9581312,0.0001112311,0.01759012,0.0000036783,0.00005393706,0.00004982489,0.0171008,0.00006289858,0.006896292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7161058,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716701486445975,"score_gpt":0.2808180219933681,"score_spread":0.2636510071289084,"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."}}