{"id":"W4220738836","doi":"10.1002/9781119078166.ch4","title":"Bayesian Paradigm and Optimal Nonlinear Filtering","year":2022,"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":"McMaster University","funders":"","keywords":"Bayesian probability; Nonlinear system; Computer science; Artificial intelligence; Algorithm; Mathematics; Physics","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":[0.001992024,0.000831798,0.001054651,0.001112192,0.0005435007,0.001964341,0.001097803,0.001992713,0.00418784],"category_scores_gemma":[0.00351224,0.0004534292,0.0007895243,0.001650482,0.002099574,0.002373149,0.001220649,0.00217957,0.00109491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157984,"about_ca_system_score_gemma":0.001565243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254736,"about_ca_topic_score_gemma":0.002794197,"domain_scores_codex":[0.9987544,0.0004596794,0.0000608059,0.0001881796,0.0004596035,0.00007734352],"domain_scores_gemma":[0.9992705,0.0004522012,0.00007096938,0.00005132121,0.0001309327,0.00002403377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007055585,0.000009602231,0.00006290865,0.00006682021,0.00001241344,0.00003897042,0.00005483564,0.0276721,0.0004685045,0.9555403,0.001411989,0.01465461],"study_design_scores_gemma":[0.00001063361,0.0000165727,0.0001245707,0.00005974116,0.000009306216,0.00007517285,0.00002387192,0.1888969,0.0002381068,0.7976722,0.01285416,0.00001873334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001415253,0.002741824,0.9759689,0.001364239,0.0001165665,0.0000252666,0.0001154524,0.00005817136,0.01819444],"genre_scores_gemma":[0.2895921,0.0225457,0.6463115,0.002008167,0.001997887,0.0005242329,0.0005410751,0.0001883484,0.03629099],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004254736,"threshold_uncertainty_score":0.01400977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012557560166093,"score_gpt":0.225497016839933,"score_spread":0.2153714412382721,"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."}}