{"id":"W6986462154","doi":"","title":"Pose Error Effects on Range Sensing","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Object (grammar); Pose; Sequence (biology); Observational error; Object detection; Calibration; Approximation error","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817523,0.0008577437,0.0003969313,0.0005929436,0.0004709476,0.0006522888,0.0004320911,0.0007615809,0.002737622],"category_scores_gemma":[0.01717375,0.000425913,0.000306251,0.0006121791,0.0008988257,0.00145119,0.000701548,0.000624204,0.0006737451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005111,"about_ca_system_score_gemma":0.0003276002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188401,"about_ca_topic_score_gemma":0.0009924023,"domain_scores_codex":[0.996718,0.0006639588,0.00009700809,0.0004284944,0.001868916,0.0002236428],"domain_scores_gemma":[0.9831043,0.01183246,0.001361202,0.00125747,0.002329864,0.0001146547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001643862,0.0002244206,0.02076219,0.000683982,0.00008658985,0.001473324,0.001301035,0.2077406,0.5620519,0.007016843,0.001002773,0.1960125],"study_design_scores_gemma":[0.00003427697,0.001102545,0.02761832,0.00007173017,0.0001242718,0.002014881,0.0002396637,0.1904407,0.7731997,0.002017639,0.002981641,0.000154598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6499432,0.001237625,0.3355536,0.0003241826,0.0001672325,0.0000932367,0.0002394657,0.001267231,0.01117418],"genre_scores_gemma":[0.9779627,0.0003943794,0.01883707,0.00007918286,0.00003566598,0.0000263534,0.0001733195,0.0002018743,0.002289498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002737622,"threshold_uncertainty_score":0.009612083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433933644692474,"score_gpt":0.2335963811350485,"score_spread":0.1992570446881237,"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."}}