{"id":"W4312371292","doi":"10.1109/icjece.2022.3217706","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","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":[0.0001346183,0.00006045098,0.0001461577,0.0002089787,0.00008572305,0.00004222639,0.0004042404,0.00001701502,0.00001364665],"category_scores_gemma":[0.00001724765,0.00005828042,0.00003703786,0.0003653773,0.000009077028,0.0001082052,0.00005913714,0.000242925,2.305105e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002816507,"about_ca_system_score_gemma":0.0001115989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001881447,"about_ca_topic_score_gemma":0.00001278736,"domain_scores_codex":[0.9993549,0.00001982165,0.0002128047,0.00008473817,0.0001300571,0.0001976726],"domain_scores_gemma":[0.9994353,0.00007626108,0.00007421145,0.00009789051,0.00005909563,0.0002572275],"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":[0.00002756555,0.000114622,0.0138191,0.00005528834,0.0002185393,0.001308845,0.001089569,0.5818006,0.001639796,0.1325081,0.0459321,0.2214858],"study_design_scores_gemma":[0.0003772246,0.0004201522,0.00494297,0.00002363171,0.000007064071,0.0008861902,0.000004422883,0.9196829,0.0001976671,0.0002724657,0.0730354,0.0001499678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06577089,0.002276143,0.9305866,0.0002191003,0.001033947,0.00003567175,0.000005543624,0.00001492209,0.0000571702],"genre_scores_gemma":[0.987129,0.00001134118,0.01262983,0.0001139996,0.00009447561,5.777617e-7,5.9526e-7,0.000004346578,0.00001582943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9213581,"threshold_uncertainty_score":0.2376606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007417643317634966,"score_gpt":0.1651118257689886,"score_spread":0.1576941824513537,"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."}}