{"id":"W4392449971","doi":"10.1109/mcas.2024.3349728","title":"IEEE Sections Congress and CASS Workshop Ottawa","year":2024,"lang":"en","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Telecommunications; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008932118,0.0001761369,0.0002246183,0.0001453375,0.00007926008,0.0002113128,0.00008000814,0.0001372857,0.000005213818],"category_scores_gemma":[0.00001881572,0.0001541103,0.00002338935,0.0002218748,0.00007552941,0.0002721309,0.00001585484,0.0002220894,0.00004845001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003122615,"about_ca_system_score_gemma":0.000007428427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000929266,"about_ca_topic_score_gemma":0.00003710494,"domain_scores_codex":[0.9991894,0.00001124765,0.0002181257,0.0002556335,0.00009073578,0.0002348159],"domain_scores_gemma":[0.9995747,0.0000895362,0.00001605676,0.0002219982,0.00002652525,0.00007124992],"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":[0.000005779157,0.00005345958,0.001271934,0.006900081,0.0007353547,0.0009942737,0.001441119,0.04063898,0.1803012,0.01778235,0.4856017,0.2642738],"study_design_scores_gemma":[0.0005087137,0.00007820468,0.0008991186,0.00100678,0.0000898716,0.001237142,0.0007525127,0.1422212,0.002599,0.0004981695,0.8492466,0.0008626573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074675,0.1247975,0.1142128,0.0003079855,0.02774625,0.001052828,0.0005874924,0.007016893,0.01681074],"genre_scores_gemma":[0.9958511,0.00139556,0.00002459749,0.000008701445,0.0002835677,0.00004078837,0.000008509634,0.00003687768,0.002350301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3636449,"threshold_uncertainty_score":0.6284434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249614817674891,"score_gpt":0.2489595804378522,"score_spread":0.2264634322611033,"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."}}