{"id":"W2146729520","doi":"","title":"Selection of Regions on a 3D Surface for Efficient LIDAR-based Pose Estimation.","year":2009,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pose; Point cloud; Artificial intelligence; Computer science; Iterative closest point; Computer vision; Laser scanning; Scanner; Context (archaeology); Algorithm; Pattern recognition (psychology)","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":[],"consensus_categories":[],"category_scores_codex":[0.00005565913,0.00007446545,0.00008603572,0.00006262263,0.00003945342,0.00001176405,0.0000303349,0.0000456923,0.00001478476],"category_scores_gemma":[0.00002833501,0.00007100308,0.0000382504,0.0001780245,0.000006335092,0.00001725237,8.113849e-7,0.00003325855,0.000004832953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004411792,"about_ca_system_score_gemma":0.00001412863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004276153,"about_ca_topic_score_gemma":0.00000265613,"domain_scores_codex":[0.9995709,0.000007451666,0.000145209,0.00008358964,0.00009036136,0.0001024907],"domain_scores_gemma":[0.9997282,0.00005448866,0.00002213449,0.0000928119,0.00007228824,0.00003009569],"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":[0.00001458169,0.00005864344,0.00001112974,0.00001969949,0.000004030176,1.038345e-7,0.00001791456,0.9882271,0.005341445,0.004587004,0.0008018623,0.0009164585],"study_design_scores_gemma":[0.0002903192,0.0001806729,0.0002331346,0.00002158239,0.000009487421,3.437704e-7,0.000004196625,0.9505693,0.04836537,0.0001121873,0.0001387891,0.00007461057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09317686,0.000007241425,0.9049845,0.0001905182,0.0000773251,0.0002136589,0.000003518184,0.0001624642,0.001183859],"genre_scores_gemma":[0.9521565,0.000001343076,0.0476347,0.00007935537,0.00001578411,0.000002357228,0.00002311812,0.00001129145,0.00007554532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8589796,"threshold_uncertainty_score":0.2895421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134749635435014,"score_gpt":0.230121635805355,"score_spread":0.2187741394510049,"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."}}