{"id":"W4406028881","doi":"10.1002/9781394155293.ch12","title":"Learning‐Based Fusion Methods","year":2025,"lang":"en","type":"other","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sensor fusion; Computer science; Fusion; Artificial intelligence; State (computer science); Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003552015,0.0002387448,0.0002797396,0.0003433719,0.00008525427,0.0001396593,0.001120113,0.0003626829,0.004834229],"category_scores_gemma":[0.00008899117,0.0001983877,0.0001088252,0.0004063392,0.00002716993,0.00003927764,0.0004127737,0.0004355253,0.0003653301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001459191,"about_ca_system_score_gemma":0.0001070715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001971249,"about_ca_topic_score_gemma":0.00001329772,"domain_scores_codex":[0.9984404,0.0003070201,0.0001824103,0.0005980825,0.0002174103,0.0002546208],"domain_scores_gemma":[0.9985325,0.0002611837,0.0001258818,0.0009694464,0.00003568739,0.00007527188],"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":[7.767977e-7,0.00001576149,0.000007129293,0.00001892057,0.000009144137,0.000005430846,0.000005523914,0.0001677986,0.000006236603,0.009493813,0.8018214,0.188448],"study_design_scores_gemma":[0.0001249253,0.0000228879,0.000006646077,0.0001422041,0.000007385003,8.678462e-7,0.000001959304,0.05418964,0.00008516621,0.0002804779,0.9449174,0.0002203912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.481291e-8,0.0002431003,0.5115488,0.0001524946,0.000936728,0.00005837793,0.000002365907,0.001144398,0.4859138],"genre_scores_gemma":[0.000003910245,0.00006626142,0.4566611,0.0004105564,0.0001105106,0.000003822668,0.00002302726,0.00005665035,0.5426642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1882277,"threshold_uncertainty_score":0.9960755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491301952172966,"score_gpt":0.313861121323092,"score_spread":0.2989481018013624,"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."}}