{"id":"W4239372583","doi":"10.1109/mmm.2013.2250633","title":"EPEPS 2013","year":2013,"lang":"en","type":"article","venue":"IEEE Microwave Magazine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","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":[0.0002249157,0.0003632261,0.000335987,0.0002203566,0.00009406493,0.0001529088,0.0004308598,0.0001326916,0.006472135],"category_scores_gemma":[0.0000422704,0.0003371246,0.0001482731,0.0004567239,0.0001835585,0.0004049996,0.0000913703,0.0002866676,0.6634759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284904,"about_ca_system_score_gemma":0.0000438334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002447019,"about_ca_topic_score_gemma":0.0001828292,"domain_scores_codex":[0.9978957,0.00008709067,0.0004109163,0.0005150185,0.0003072342,0.000784001],"domain_scores_gemma":[0.9984386,0.00006028667,0.0001435085,0.0007901121,0.0002968993,0.0002706219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006512836,0.00005516013,0.0002438117,0.00000812418,0.0000209296,0.00001142893,0.00004876634,0.000007487926,0.5272967,0.00005538813,0.4701019,0.002143845],"study_design_scores_gemma":[0.001711458,0.0001178413,0.02326549,0.0000450971,0.00005700829,0.0001902395,0.00003255505,0.0005879208,0.4555987,0.003038663,0.5144221,0.0009330144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816004,0.0005328157,0.0008608094,0.001937116,0.00102204,0.0009419058,0.00007972604,0.000712655,0.1123126],"genre_scores_gemma":[0.9543924,0.00002325099,0.004863097,0.0008294187,0.00051829,0.0001061809,0.00005005138,0.0002282207,0.03898903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6570038,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530054059729342,"score_gpt":0.2328117662148034,"score_spread":0.21751122561751,"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."}}