{"id":"W4417438480","doi":"10.1109/icjece.2025.3606703","title":"Front Cover","year":2025,"lang":"","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":"","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004563798,0.001019267,0.001882095,0.003505823,0.0002451761,0.0007003345,0.0009726593,0.0007564417,0.001985908],"category_scores_gemma":[0.00019459,0.001055586,0.0005711301,0.001186931,0.00009994698,0.0003036755,0.00008215923,0.00328546,0.002177146],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727845,"about_ca_system_score_gemma":0.008882367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149667,"about_ca_topic_score_gemma":0.0003561184,"domain_scores_codex":[0.995436,0.0001245957,0.00165205,0.0005793104,0.0004764175,0.001731598],"domain_scores_gemma":[0.9941145,0.0004926984,0.0006077336,0.0003376673,0.0006864776,0.003760961],"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":[0.00008559442,0.00005590563,0.0002753495,0.0004664447,0.001881229,0.002289622,0.0002686293,0.1940509,0.00008374179,0.0006642881,0.7709302,0.02894803],"study_design_scores_gemma":[0.0009552827,0.0006423364,0.001213186,0.001517356,0.0003451815,0.001357325,0.000001554507,0.342921,0.00004903872,0.00002324682,0.6501122,0.0008623817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01160777,0.2533142,0.6955935,0.0006550438,0.02613946,0.001007315,0.0005689254,0.00005546223,0.01105826],"genre_scores_gemma":[0.8488452,0.006544522,0.01980612,0.002322817,0.0260605,0.00002411516,0.0001344228,0.001063264,0.095199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8372375,"threshold_uncertainty_score":0.9991894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004621671601110113,"score_gpt":0.176724385738106,"score_spread":0.1721027141369959,"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."}}