{"id":"W4250431290","doi":"10.1109/epeps47316.2019.9073249","title":"EPEPS 2019 Keynote Address","year":2019,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Carleton University","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Computational electromagnetics; Machine learning; Computer engineering; Control engineering; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009369481,0.0007407438,0.0005267386,0.0009298344,0.001762196,0.004194354,0.001079388,0.002571976,0.8208569],"category_scores_gemma":[0.003169662,0.0003413357,0.0004703382,0.0006708874,0.0002784567,0.001631043,0.001695886,0.002430971,0.7027798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073649,"about_ca_system_score_gemma":0.001555344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586658,"about_ca_topic_score_gemma":0.005802367,"domain_scores_codex":[0.9994443,0.00005244866,0.00002408833,0.00006563234,0.0002894581,0.0001240078],"domain_scores_gemma":[0.9983765,0.0001428895,0.00004304139,0.00008723469,0.0009378479,0.0004124389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003002587,0.00001057407,0.0000272132,0.00004355264,0.000001015665,0.00003875156,0.000006276201,0.00001043416,0.0001679928,0.0009230194,0.9856378,0.01310335],"study_design_scores_gemma":[0.000007882798,0.00002145208,0.000205671,0.00004485612,0.00000157542,0.00003724787,0.00004242674,0.00003347598,0.0002048859,0.0003399922,0.9990565,0.00000401554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005928351,0.001046762,0.00116442,0.007912313,0.04276461,0.0002956225,0.003015516,0.001047473,0.9421606],"genre_scores_gemma":[0.001005554,0.0003200324,0.0001928112,0.0008639446,0.0009115371,0.00004935455,0.00079392,0.0001561541,0.9957067],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8208569,"threshold_uncertainty_score":0.2555258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005129381370475022,"score_gpt":0.1847739344609334,"score_spread":0.1796445530904584,"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."}}