{"id":"W4327740064","doi":"10.3390/math11061449","title":"Optimal Robot Pose Estimation Using Scan Matching by Turning Function","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Histogram; Computer science; Orientation (vector space); Artificial intelligence; Robot; Pose; Mobile robot; Computer vision; Matching (statistics); Position (finance); Function (biology); Similarity (geometry); Algorithm; Mathematics; Image (mathematics)","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":[0.0005414439,0.0007439977,0.00125011,0.001794233,0.0004038246,0.0006297514,0.0008944077,0.0007140492,0.001346754],"category_scores_gemma":[0.002099684,0.0004548101,0.0009002425,0.001364204,0.0006486551,0.0009060308,0.0009065476,0.000555477,0.0005416073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917828,"about_ca_system_score_gemma":0.0009272179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003215252,"about_ca_topic_score_gemma":0.001993713,"domain_scores_codex":[0.9994529,0.0001009155,0.00002563108,0.0001390384,0.0002119982,0.00006956734],"domain_scores_gemma":[0.9995022,0.000186613,0.00007604811,0.000061841,0.0001448565,0.00002840762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002705117,0.000101577,0.002545613,0.0001061551,0.00009128734,0.0001582673,0.0001504874,0.453784,0.02754261,0.006568891,0.001430806,0.5072497],"study_design_scores_gemma":[0.00001236623,0.00007424158,0.0008625173,0.000006113149,0.0000104937,0.0000990433,0.00003243928,0.9894335,0.005670086,0.003176407,0.0006060511,0.00001679157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01613644,0.00008455243,0.9829081,0.0000246295,0.00001232233,0.00002552195,0.00001723834,0.0003334695,0.0004576049],"genre_scores_gemma":[0.5260981,0.0002607712,0.4716485,0.00005556533,0.00004142727,0.0001680679,0.0002916645,0.0001809293,0.001254955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003215252,"threshold_uncertainty_score":0.006393075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675516895129174,"score_gpt":0.2320125410522408,"score_spread":0.2152573721009491,"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."}}