{"id":"W2012508229","doi":"10.1117/12.604426","title":"Extending high-angular accuracy to a near omni-directional 3D range sensor","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Angular resolution (graph drawing); Angular displacement; Tripod (photography); Optics; Repeatability; Scanner; Physics; Angular velocity; Image resolution; Lidar; Computer science; Acoustics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003406621,0.0003753399,0.0004568027,0.000107589,0.0001718161,0.0001602512,0.0008049723,0.0001545906,0.00005850411],"category_scores_gemma":[0.0006135476,0.0003262197,0.0005489233,0.0004287385,0.0002547616,0.0006105611,0.0002870142,0.0004120797,0.00001205898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950533,"about_ca_system_score_gemma":0.00002841446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002360331,"about_ca_topic_score_gemma":1.346696e-7,"domain_scores_codex":[0.9976882,1.667702e-8,0.0006333967,0.0004914039,0.0006424987,0.0005444619],"domain_scores_gemma":[0.9980441,0.0002486521,0.0003126148,0.00008831582,0.001149313,0.0001569858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008898509,0.0001657325,0.0005712871,0.00008090289,0.0004052108,1.048553e-7,0.0001428812,0.001545421,0.3919779,0.5972469,0.002055886,0.005718762],"study_design_scores_gemma":[0.003750149,0.0007515526,0.003188333,0.0008976689,0.000526062,0.00003284858,0.002755743,0.09551691,0.7810993,0.02032733,0.08915931,0.001994839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9910155,0.00004522818,0.0009356746,0.004876284,0.0002267973,0.000555317,0.00006897794,0.0002264184,0.002049824],"genre_scores_gemma":[0.469304,0.00001026679,0.5294594,0.00009877957,0.0007539954,0.00009829862,0.000007158242,0.00005869189,0.0002094666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5769196,"threshold_uncertainty_score":0.999919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009647750556096762,"score_gpt":0.2409469194675464,"score_spread":0.2312991689114496,"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."}}