{"id":"W2148740222","doi":"10.1109/mwsym.1981.1129821","title":"An Interactive Optimal Postproduction Tuning Technique Utilizing Simulated Sensitivities and Response Measurements","year":2005,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Exploit; Linear programming; Fine-tuning; Control theory (sociology); Algorithm; Artificial intelligence; Control (management)","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":[0.0008959583,0.0009195738,0.0008140547,0.0005734878,0.0005427276,0.0008006663,0.001529364,0.0006794747,0.005527267],"category_scores_gemma":[0.002771775,0.0006146272,0.000427839,0.0004529164,0.0006164126,0.0008677693,0.001105867,0.001405625,0.0008040054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007068022,"about_ca_system_score_gemma":0.0009861529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623721,"about_ca_topic_score_gemma":0.00299895,"domain_scores_codex":[0.9991677,0.000187001,0.00002769576,0.0001505559,0.0003835372,0.00008352147],"domain_scores_gemma":[0.998091,0.001123659,0.0001804844,0.0003881599,0.0001689659,0.00004766511],"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":[0.00080055,0.0003486581,0.001511554,0.000231527,0.0001219232,0.0001959973,0.0002749406,0.285763,0.2062386,0.01542376,0.00212915,0.4869603],"study_design_scores_gemma":[0.00006181914,0.0002246944,0.0008992041,0.00001758991,0.0000367812,0.0001844429,0.00002754039,0.8958831,0.09355723,0.005421964,0.00362044,0.00006508202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01035667,0.00003442284,0.9858215,0.0000348897,0.00001070805,0.00004817007,0.00002342668,0.001943569,0.001726636],"genre_scores_gemma":[0.3548571,0.00004050359,0.6427217,0.00005711023,0.00001389286,0.000148434,0.00006528417,0.0004662069,0.001629785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005527267,"threshold_uncertainty_score":0.01849049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958337282543786,"score_gpt":0.2890923370958378,"score_spread":0.2495089642704,"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."}}