{"id":"W3088822171","doi":"10.1017/s0263574720000855","title":"Calibration of Multiple Depth Sensor Network Using Reflective Pattern on Spheres: Theory and Experiments","year":2020,"lang":"en","type":"article","venue":"Robotica","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"SPHERES; Calibration; Computer science; Consistency (knowledge bases); Artificial intelligence; Computer vision; Mathematics; Physics","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":[0.0000246372,0.00008750763,0.0001323095,0.000007288481,0.00005122103,0.00001123011,0.00004412008,0.00003264863,0.00002324616],"category_scores_gemma":[0.00004870315,0.00007735666,0.00002359838,0.00007322985,0.0000702523,0.00004763656,0.00005798768,0.00009615283,0.000002050728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009923428,"about_ca_system_score_gemma":0.000006975021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001492314,"about_ca_topic_score_gemma":0.000001431046,"domain_scores_codex":[0.9994794,0.00004979921,0.0001102077,0.0001642368,0.00006315657,0.0001331849],"domain_scores_gemma":[0.9995998,0.0001856743,0.00005618289,0.0001023636,0.00001732834,0.00003864168],"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":[0.0005957131,0.0002670349,0.1343162,0.00004222112,0.0002971244,0.00001011209,0.001615733,0.5367976,0.102144,0.1538936,0.0001730517,0.06984748],"study_design_scores_gemma":[0.001423464,0.0005879476,0.003336408,0.0002218052,0.00008493403,9.369695e-7,0.004179678,0.6127546,0.3080803,0.06867537,0.0000691379,0.0005853732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2585362,0.00002140574,0.7406356,0.0001307488,0.00002755648,0.0001156505,0.000003285458,0.00005331917,0.0004762321],"genre_scores_gemma":[0.9510674,4.861847e-7,0.04872962,0.0000959609,0.00008540243,0.000001380054,0.000002716291,0.00001250917,0.000004465829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6925312,"threshold_uncertainty_score":0.3154513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04110866617398932,"score_gpt":0.2986514091787814,"score_spread":0.2575427430047921,"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."}}