{"id":"W4240581143","doi":"10.32920/ryerson.14663499","title":"Surface-constrained continuous-time extended Kalman filter: optimal estimation of a state of a constrained dynamic system-ball-rover rolling on a known surface","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Ball (mathematics); Kalman filter; Control theory (sociology); Computation; State vector; Filter (signal processing); Mathematics; Computer science; Algorithm; Geometry; Physics; Classical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001712285,0.0005651864,0.001553679,0.0003260363,0.0002939228,0.0001382849,0.0006315878,0.0005519888,0.0005251272],"category_scores_gemma":[0.000223657,0.0005759691,0.001097271,0.0009771825,0.001205323,0.0001658021,0.0001875875,0.0006313724,0.0000130069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672485,"about_ca_system_score_gemma":0.001002268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038042,"about_ca_topic_score_gemma":0.0005752657,"domain_scores_codex":[0.9949013,0.0008900028,0.001375854,0.0009294566,0.001219669,0.000683737],"domain_scores_gemma":[0.9965525,0.0006024881,0.001135797,0.0006722123,0.000736632,0.0003003651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001129976,0.002464727,0.000981262,0.004003382,0.003195908,0.0001554028,0.05136982,0.8764161,0.02139916,0.01684989,0.0005422442,0.02149214],"study_design_scores_gemma":[0.009559977,0.002758555,0.002484436,0.01202984,0.002436826,0.0000260391,0.0564631,0.8953921,0.008455805,0.001977186,0.002182913,0.006233224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368479,0.0005405369,0.0129395,0.0001623921,0.0007518323,0.001588383,0.0006244325,0.0003596201,0.0461854],"genre_scores_gemma":[0.9817138,0.0001132884,0.01650413,0.00002099059,0.00002998047,0.00002308645,0.0001679922,0.00003865,0.001388092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04486588,"threshold_uncertainty_score":0.9996692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009776483887068482,"score_gpt":0.2579179453734156,"score_spread":0.2481414614863471,"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."}}