{"id":"W2790134329","doi":"","title":"Digital Map Based Navigation System For Autonomous Vehicle with DGPS Localization","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Computer science; Computer vision; Navigation system; Artificial intelligence; Remote sensing; Real-time computing; Geography; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000005084775,0.00009404741,0.0000959168,0.00000948156,0.00007490092,0.00001808421,0.0000373123,0.00001693303,0.00000231178],"category_scores_gemma":[5.334232e-7,0.00008691035,0.00001109248,0.00004007333,0.00001545021,0.0004342231,0.000007512622,0.00003537739,2.760527e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001470809,"about_ca_system_score_gemma":0.0001297228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001992508,"about_ca_topic_score_gemma":0.0004309816,"domain_scores_codex":[0.9992085,0.0000080247,0.0001339919,0.00007227652,0.0004033542,0.000173854],"domain_scores_gemma":[0.9997231,0.00005749123,0.00003875639,0.00006812292,6.110647e-7,0.0001118815],"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":[0.002738127,0.000166502,0.1875573,0.009319067,0.0004450116,0.00008312517,0.0007604822,0.4121276,0.1222246,0.1880243,0.003239458,0.07331439],"study_design_scores_gemma":[0.0006144415,0.00007058726,0.007180237,0.0002020917,0.00002597675,0.000006168413,0.000768631,0.5961266,0.3789206,0.00004039904,0.015768,0.0002762338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7517113,0.0004632199,0.1007785,0.0008519411,0.001026508,0.001015638,0.0008507783,0.0002248344,0.1430773],"genre_scores_gemma":[0.9990406,9.421722e-7,0.0004099911,0.00005913934,0.00007164165,0.00001034536,0.00006350496,0.00001983133,0.0003240154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256696,"threshold_uncertainty_score":0.3544101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002078640943703137,"score_gpt":0.1241917699877426,"score_spread":0.1221131290440395,"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."}}