{"id":"W4214864356","doi":"10.1109/ieee-iws.2019.8803853","title":"IWS 2019 Committee Members","year":2019,"lang":"en","type":"article","venue":"2019 IEEE MTT-S International Wireless Symposium (IWS)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002676354,0.0004159688,0.0005484294,0.0002469257,0.00009914352,0.0001122279,0.000655103,0.0001917446,0.003830645],"category_scores_gemma":[0.00001376101,0.0003765976,0.0003723401,0.0001752014,0.00009854666,0.0003917159,0.0002098335,0.0005558964,0.003832502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004251541,"about_ca_system_score_gemma":0.0001349487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536676,"about_ca_topic_score_gemma":0.00007696405,"domain_scores_codex":[0.9971191,0.00007115558,0.0006015109,0.0006352023,0.001061728,0.0005113244],"domain_scores_gemma":[0.9982598,0.000174945,0.0002384516,0.0007741987,0.0002725549,0.0002799833],"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":[0.001431438,0.001177248,0.09972051,0.0002106435,0.001118937,0.000315474,0.0006783429,0.0007413173,0.2168729,0.007608425,0.6675967,0.002528064],"study_design_scores_gemma":[0.01117714,0.001151175,0.02031763,0.0008373947,0.0004609371,0.0009822547,0.0004484508,0.01740398,0.04357089,0.0002567621,0.9017193,0.001674134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913178,0.0002268894,0.0001121925,0.02309511,0.007377741,0.0007064312,0.0002202575,0.0001653082,0.07677829],"genre_scores_gemma":[0.9371397,0.0003799958,0.0002382712,0.007349286,0.001194804,0.00003921875,0.0005466994,0.00009032844,0.05302162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341226,"threshold_uncertainty_score":0.9998686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008128418944583337,"score_gpt":0.2593220009778959,"score_spread":0.2511935820333126,"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."}}