{"id":"W4220978347","doi":"10.1109/icjece.2021.3138668","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.00006371525,0.00006593495,0.0001410792,0.0003879158,0.00004111783,0.000008168191,0.0001203852,0.00002704887,0.00001393217],"category_scores_gemma":[0.00001403982,0.00007212014,0.0000268124,0.0004353663,0.0000101706,0.00003879207,0.00001028261,0.0003083237,1.81393e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004741716,"about_ca_system_score_gemma":0.00004176239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000442695,"about_ca_topic_score_gemma":0.00001037796,"domain_scores_codex":[0.9995276,0.000003369732,0.0001975197,0.00004001474,0.00006226808,0.0001691886],"domain_scores_gemma":[0.999737,0.00002890744,0.00002475235,0.00005215821,0.00004092903,0.0001162897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001840853,0.0000098718,0.002220998,0.00003623284,0.0001286508,0.00008654237,0.00008909999,0.9707813,0.003348616,0.01133384,0.002970058,0.008992906],"study_design_scores_gemma":[0.0004802749,0.0003405289,0.006321982,0.00003364703,0.00002347775,0.0008033525,0.000012657,0.9436427,0.002142691,0.0002013764,0.04575861,0.0002386939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013349,0.003999107,0.1932924,0.0001132158,0.0009369423,0.00005679956,0.0000137301,0.00008334588,0.0001695591],"genre_scores_gemma":[0.9981886,0.0000119215,0.001710838,0.00001567306,0.00004855549,0.000001943474,8.742283e-7,0.00001160718,0.000009960492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968537,"threshold_uncertainty_score":0.2940974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004560385724679571,"score_gpt":0.1438312103257762,"score_spread":0.1392708246010967,"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."}}