{"id":"W4393027439","doi":"10.48550/arxiv.2403.12633","title":"State Estimation Using Single Body-Frame Bearing Measurements","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frame (networking); Estimation; State (computer science); Bearing (navigation); Computer science; Artificial intelligence; Algorithm; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002293579,0.00033227,0.0002969377,0.0003256427,0.0001082634,0.0001083456,0.0003973998,0.0002987704,0.0001941719],"category_scores_gemma":[0.00002051466,0.0004234668,0.0002649983,0.0002702847,0.00008745774,0.00009392756,0.0008288721,0.000665376,0.0004970448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443585,"about_ca_system_score_gemma":0.0001071714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326553,"about_ca_topic_score_gemma":0.0001347816,"domain_scores_codex":[0.9981986,0.0001005769,0.0002441597,0.0009744875,0.00007941598,0.0004027437],"domain_scores_gemma":[0.9988991,0.00002935025,0.0001988004,0.000660719,0.00008495907,0.0001270484],"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":[0.0001874578,0.0005167318,0.005280854,0.0006366399,0.001497599,0.0002737336,0.001468482,0.9437156,0.002562556,0.03904943,0.0005972917,0.004213584],"study_design_scores_gemma":[0.001824381,0.0002129812,0.01227992,0.0009303245,0.001286598,0.00001012811,0.0007654211,0.6907277,0.0003017192,0.2885774,0.0009799649,0.002103486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433432,0.0002307666,0.03021787,0.00002960383,0.002079556,0.0003560875,0.00003516749,0.0001927487,0.02351505],"genre_scores_gemma":[0.9965178,0.00002388938,0.0004239347,0.00004612676,0.00005158759,0.000001375552,0.00004537201,0.00006686543,0.002823059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2529879,"threshold_uncertainty_score":0.9998217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489100284349038,"score_gpt":0.2520000604805329,"score_spread":0.1030900320456291,"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."}}