{"id":"W2133800335","doi":"10.1109/mwscas.2007.4488602","title":"Application of neural networks for linear/nonlinear microwave modeling","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Artificial neural network; Nonlinear system; Microwave; Computer science; Component (thermodynamics); Electronic engineering; Artificial intelligence; Control engineering; Engineering; Telecommunications","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":[0.0002626415,0.0001599943,0.0001905012,0.00009084429,0.00003335307,0.00002145147,0.0001601489,0.0001191631,0.000002198274],"category_scores_gemma":[0.00003526998,0.0001701135,0.00006267827,0.0001503711,0.0000247982,0.00009730025,0.00002043802,0.0001468069,0.000001739915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002535799,"about_ca_system_score_gemma":0.000007724099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004645777,"about_ca_topic_score_gemma":0.000001917246,"domain_scores_codex":[0.9991055,6.38464e-7,0.0003296459,0.0001770859,0.00007817201,0.0003089249],"domain_scores_gemma":[0.9994873,0.00002865077,0.00004359582,0.00008422184,0.0002827449,0.00007342639],"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":[0.00004773005,0.00003029167,0.0007653151,0.0007190534,0.00005333976,4.736866e-7,0.0008421803,0.55409,0.3878613,0.004567089,0.0002898361,0.05073339],"study_design_scores_gemma":[0.0001758178,0.00002514159,0.00003153501,0.00003656927,0.00001372315,0.000004077407,0.0001015951,0.9604953,0.03824526,0.000213375,0.0004890734,0.0001685502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1912962,0.0001878439,0.8074145,0.00001280129,0.0001134261,0.0002088692,0.000004159799,0.000206069,0.00055603],"genre_scores_gemma":[0.9681952,0.00002630939,0.03139321,0.00001369504,0.0002661063,0.00002153856,0.0000176496,0.00004021227,0.00002610119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7768989,"threshold_uncertainty_score":0.6937026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882516580854863,"score_gpt":0.237325066362842,"score_spread":0.2184999005542934,"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."}}