{"id":"W2810243590","doi":"10.1016/j.artint.2018.06.003","title":"Reasoning about discrete and continuous noisy sensors and effectors in dynamical systems","year":2018,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Formalism (music); Computer science; Dynamical systems theory; Artificial intelligence; Action (physics); Theoretical computer science; Mathematics; Algorithm; 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":[0.003630715,0.001032514,0.001535004,0.001292082,0.001116026,0.005884859,0.002916923,0.003230291,0.002482811],"category_scores_gemma":[0.01757599,0.001199743,0.00221454,0.0009634335,0.005472396,0.01162585,0.003144055,0.003889133,0.0002692483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665351,"about_ca_system_score_gemma":0.001205118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005437929,"about_ca_topic_score_gemma":0.004402215,"domain_scores_codex":[0.9969481,0.00103459,0.0003331336,0.0006687009,0.000757136,0.000258332],"domain_scores_gemma":[0.9870323,0.01069102,0.00079453,0.000730025,0.0004848157,0.0002672696],"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":[0.0003329469,0.0001089335,0.002768765,0.0003845346,0.0002033223,0.0009435993,0.0007849017,0.4229673,0.002047635,0.5438933,0.001119607,0.02444519],"study_design_scores_gemma":[0.00004685314,0.00002357425,0.0002306278,0.00002926773,0.0000468241,0.00007969729,0.0001131907,0.5202047,0.0008741681,0.4777612,0.000565226,0.00002471319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06094181,0.0007880792,0.9320303,0.001794111,0.0001096281,0.00004581987,0.0003044353,0.0003047766,0.003681113],"genre_scores_gemma":[0.9000543,0.0006025004,0.09656534,0.0002766525,0.0001334257,0.00007178704,0.0003608962,0.00005209044,0.001883006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005884859,"threshold_uncertainty_score":0.01920128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658489703657044,"score_gpt":0.2719030872780779,"score_spread":0.2553181902415075,"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."}}