{"id":"W4381748023","doi":"10.1109/icjece.2023.3280331","title":"Front Cover","year":2023,"lang":"en","type":"paratext","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front cover; Front (military); Cover (algebra); Geology; Engineering; Oceanography; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001960469,0.0003609092,0.0006880052,0.001342853,0.00006913993,0.0002003641,0.0003761408,0.0002839833,0.0006748677],"category_scores_gemma":[0.00006551843,0.0003435109,0.000195726,0.0004736635,0.00002722977,0.0001052473,0.00002734173,0.001212056,0.01014528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004870467,"about_ca_system_score_gemma":0.001210446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008686466,"about_ca_topic_score_gemma":0.0003407481,"domain_scores_codex":[0.998237,0.00003074227,0.0005271899,0.0002270169,0.0002477732,0.0007302539],"domain_scores_gemma":[0.9979088,0.0001736426,0.0002042797,0.0001428764,0.0001709664,0.001399472],"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":[0.000006209258,0.000004322307,0.00001747653,0.00004704198,0.0002135974,0.0005915361,0.00005125027,0.03565032,0.00002817336,0.00005918558,0.9605255,0.00280537],"study_design_scores_gemma":[0.0003709871,0.0002552737,0.0008184224,0.0003571273,0.00007253663,0.000727315,7.533842e-7,0.08890533,0.00002542917,0.00001696604,0.9079693,0.0004805739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04441961,0.2091922,0.6062595,0.001536876,0.09113652,0.001934832,0.001825224,0.0005550931,0.04314012],"genre_scores_gemma":[0.4660157,0.004835407,0.0218317,0.002729029,0.08149172,0.00005357831,0.0005621365,0.004428753,0.418052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5844278,"threshold_uncertainty_score":0.9999017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00784614191197064,"score_gpt":0.18524349545253,"score_spread":0.1773973535405594,"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."}}