{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002501024,0.001640367,0.001569389,0.001512658,0.0007647415,0.002738842,0.002241222,0.001643845,0.01360798],"category_scores_gemma":[0.005028483,0.0005065944,0.001302821,0.001972093,0.0009755833,0.002751688,0.002646481,0.002199536,0.008272322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056206,"about_ca_system_score_gemma":0.001061321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826275,"about_ca_topic_score_gemma":0.001296256,"domain_scores_codex":[0.9980574,0.0003959611,0.0001180032,0.0004114833,0.0008934313,0.0001237274],"domain_scores_gemma":[0.9988972,0.0003771815,0.00007887906,0.0002208495,0.0003905465,0.00003529952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001017629,0.00006144839,0.0004055929,0.0004620393,0.000135678,0.00006712193,0.0001103895,0.1024682,0.004382664,0.2143231,0.02353042,0.6539515],"study_design_scores_gemma":[0.0000224675,0.00007448061,0.0003409546,0.0001262902,0.00005872189,0.0002099657,0.0000429114,0.7615604,0.005425033,0.1445276,0.08756309,0.00004813243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0006093903,0.003249524,0.9850997,0.0002869201,0.0003779326,0.00005402566,0.00012902,0.0004901953,0.009703172],"genre_scores_gemma":[0.1338978,0.0178244,0.7827538,0.0009520167,0.002105745,0.0005558368,0.002066341,0.001019235,0.05882478],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01360798,"threshold_uncertainty_score":0.04552323,"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."}}