{"id":"W2019192491","doi":"10.3390/e110300402","title":"Continuous-Discrete Path Integral Filtering","year":2009,"lang":"en","type":"article","venue":"Entropy","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Path integral formulation; Path (computing); Mathematics; Feynman diagram; Integral equation; Functional integration; Simple (philosophy); Applied mathematics; Relation between Schrödinger's equation and the path integral formulation of quantum mechanics; Stratonovich integral; Nonlinear system; Langevin equation; Mathematical analysis; Riemann integral; Statistical physics; Computer science; Fourier integral operator; Physics; Mathematical physics; Quantum mechanics","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":[0.0007235032,0.0003912066,0.0004808953,0.0005092429,0.000341762,0.001132377,0.000671101,0.001043792,0.002671323],"category_scores_gemma":[0.001901506,0.0001717898,0.0005445324,0.000609503,0.0009926595,0.001592733,0.0006299251,0.001336308,0.0005220133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008832508,"about_ca_system_score_gemma":0.0006499676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406364,"about_ca_topic_score_gemma":0.0007003813,"domain_scores_codex":[0.9996706,0.0000592188,0.00002481371,0.0000636901,0.0001601367,0.00002146918],"domain_scores_gemma":[0.9996328,0.0001945109,0.0000253532,0.00005406368,0.00007715263,0.00001606415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001734021,0.00001613022,0.0001390501,0.00009342024,0.00001066575,0.00005844357,0.0000497792,0.06754429,0.002925943,0.9014384,0.001194706,0.02651178],"study_design_scores_gemma":[0.000008254708,0.00001791062,0.0001779836,0.00002466756,0.000007382385,0.0001543201,0.00001474114,0.6336802,0.001441841,0.355216,0.009234124,0.00002252298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003217627,0.001333732,0.9839523,0.000482456,0.0002124459,0.0000205113,0.00008612634,0.0001147664,0.01058008],"genre_scores_gemma":[0.4847763,0.008102448,0.4810135,0.0006671788,0.0007450627,0.0001975155,0.0003826375,0.0001381472,0.02397722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002671323,"threshold_uncertainty_score":0.008936465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0082047402741464,"score_gpt":0.2316666556913999,"score_spread":0.2234619154172535,"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."}}