{"id":"W2233252330","doi":"10.1007/978-3-642-27523-4_6","title":"3D Cameras: Errors, Calibration and Orientation","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer vision; Artificial intelligence; Orientation (vector space); Computer science; Calibration; Range (aeronautics); Frame (networking); Laser; Field of view; Computer graphics (images); Optics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002161004,0.0001727348,0.0001396151,0.00008124963,0.0000313478,0.0000558862,0.000028105,0.0002031031,0.0009435528],"category_scores_gemma":[0.000002658538,0.0001684776,0.00002288565,0.00001439097,0.00001935692,0.0001175478,0.000007822074,0.0001007544,0.00007296781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003645879,"about_ca_system_score_gemma":0.000008179229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002772185,"about_ca_topic_score_gemma":0.00002671435,"domain_scores_codex":[0.9994589,0.000002704415,0.0001896246,0.0001460687,0.000113374,0.00008933783],"domain_scores_gemma":[0.9997512,0.00001243031,0.0000221444,0.0001199985,0.00004073371,0.00005350115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005355858,0.000008169934,0.00005633621,0.0003318238,0.0001378051,0.000008301933,0.0003406264,0.323017,0.0006573954,0.6072125,0.04696219,0.02126246],"study_design_scores_gemma":[0.0001590494,0.00002724379,0.00002596442,0.00005356327,0.00004163021,0.000003308651,0.00001313576,0.945536,0.0002424462,0.002591255,0.05094365,0.0003627289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003153784,0.0003823061,0.3305168,0.00007067454,0.0005480413,0.0003902999,0.00001598115,0.0003941556,0.6673664],"genre_scores_gemma":[0.0673735,0.002149365,0.01450923,0.0004906776,0.0007011869,0.0000283496,0.002228427,0.0003823228,0.9121369],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6225191,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00917926079147199,"score_gpt":0.1851212643566652,"score_spread":0.1759420035651932,"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."}}