{"id":"W1503286358","doi":"","title":"Discussion of \"An optimization based method for selection of resonant harmonic filter branch parameters\"","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Selection (genetic algorithm); Harmonic; Filter (signal processing); Computer science; Mathematical optimization; Mathematics; Physics; Acoustics; 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":[0.001035241,0.0008923006,0.0008833745,0.0005497623,0.0006701269,0.001217331,0.001305862,0.001452512,0.007960903],"category_scores_gemma":[0.001797875,0.0004267545,0.0006546763,0.0006136099,0.000568191,0.0009002236,0.0005466502,0.001348962,0.00212972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004214126,"about_ca_system_score_gemma":0.0005771825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018193,"about_ca_topic_score_gemma":0.003450723,"domain_scores_codex":[0.9996622,0.0001160596,0.00001806283,0.00004346748,0.0001405093,0.0000196629],"domain_scores_gemma":[0.9997508,0.0001215696,0.00002650205,0.00002473664,0.00006849366,0.000007860865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001744054,0.0001197636,0.0003721685,0.0005479148,0.000137255,0.0002302419,0.0001950832,0.3166192,0.0440382,0.2931543,0.01631273,0.3280987],"study_design_scores_gemma":[0.00003653398,0.00006906647,0.0002399972,0.00006248925,0.00004375173,0.0001636122,0.00003463833,0.9130776,0.01475652,0.03518963,0.03628194,0.00004433489],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.0004916889,0.0001080031,0.9966792,0.0001787183,0.00008471532,0.0000277343,0.0000133912,0.0001439286,0.002272662],"genre_scores_gemma":[0.04847269,0.0005178009,0.9372478,0.0006858996,0.0001481703,0.0002146767,0.00007107447,0.0002687754,0.01237328],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007960903,"threshold_uncertainty_score":0.02663189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913790835553229,"score_gpt":0.2359308221881336,"score_spread":0.2167929138326013,"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."}}