{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002716618,0.0006787563,0.0005837281,0.00210358,0.0008543712,0.002396283,0.000825779,0.0006414247,0.6540563],"category_scores_gemma":[0.002534136,0.0001968903,0.0003203752,0.001685887,0.0001692524,0.0008644257,0.0008380022,0.0004836247,0.5139326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008655586,"about_ca_system_score_gemma":0.001444758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005157086,"about_ca_topic_score_gemma":0.004393181,"domain_scores_codex":[0.9996877,0.00002990731,0.00001655628,0.00006486605,0.0001760641,0.0000250393],"domain_scores_gemma":[0.9988501,0.0002343697,0.0000555023,0.0001427461,0.0005947017,0.000122577],"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":[0.00008679707,0.00004922379,0.0006042584,0.0003512959,0.00001130991,0.00008174244,0.00003955461,0.001378314,0.001336483,0.003584739,0.7735398,0.2189365],"study_design_scores_gemma":[0.000008942855,0.00003154689,0.00103141,0.0001352431,0.000007507133,0.00006634034,0.00003567156,0.000548174,0.0005880723,0.001341051,0.9961973,0.000008800598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002835033,0.005857428,0.01708205,0.002227848,0.009960458,0.0006994727,0.06109404,0.004369287,0.8958743],"genre_scores_gemma":[0.01127918,0.004305352,0.008145782,0.0009213618,0.002310561,0.0003625966,0.04314717,0.001004828,0.9285232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3459437,"threshold_uncertainty_score":0.4934466,"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."}}