{"id":"W1687620197","doi":"10.3233/ica-2007-14304","title":"Dynamic motion models in Monte Carlo Localization","year":2007,"lang":"en","type":"article","venue":"Integrated Computer-Aided Engineering","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Monte Carlo method; Statistical physics; Monte Carlo molecular modeling; Computer science; Markov chain Monte Carlo; Physics; Mathematics; Statistics","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":[0.0002260215,0.0002930822,0.0002555516,0.0005308441,0.00003093648,0.0000656479,0.0001519547,0.0001929468,0.000005046459],"category_scores_gemma":[0.00001365113,0.0003255907,0.00006141644,0.0008009462,0.0000116656,0.0002781214,0.00001903779,0.0003068848,0.00001015192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004300457,"about_ca_system_score_gemma":0.00001199146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123848,"about_ca_topic_score_gemma":0.0001167711,"domain_scores_codex":[0.9985885,0.00001490119,0.0005150537,0.000254411,0.0001884387,0.0004386914],"domain_scores_gemma":[0.999489,0.0000502382,0.0000322332,0.0002266509,0.00009521338,0.0001066564],"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":[0.000005345658,0.00001919113,0.0000905191,0.00005210926,0.00001967139,0.00003740251,0.0001751382,0.9845126,0.001498206,0.0006477336,0.00003312653,0.01290896],"study_design_scores_gemma":[0.0003524101,0.00002405465,0.000483286,0.0001609275,0.000007727943,0.00001527692,0.00002966245,0.9969684,0.001398883,0.0001079158,0.0001322714,0.000319224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1125285,0.0001631868,0.8854259,0.000008791412,0.0007494506,0.0001767674,0.000003728973,0.0007633712,0.000180312],"genre_scores_gemma":[0.9800068,0.00004721676,0.01970023,0.00002577612,0.00005996137,0.000007025915,0.0000574951,0.00008374219,0.00001175016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8674783,"threshold_uncertainty_score":0.9999196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006197117409729051,"score_gpt":0.1859765490916925,"score_spread":0.1797794316819634,"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."}}