{"id":"W1990821364","doi":"10.1117/12.466911","title":"&lt;title&gt;2D noise propagation in 3D object position determination from a single-perspective projection&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Position (finance); Centroid; Computer vision; Perspective (graphical); Projection (relational algebra); Computer science; Artificial intelligence; Noise (video); Object (grammar); Visualization; Object detection; Physics; Algorithm; Image (mathematics); Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001007031,0.0005755529,0.0004429496,0.0007575261,0.0003097993,0.001752263,0.0006103436,0.000628353,0.01029212],"category_scores_gemma":[0.003301404,0.0004282675,0.0003590663,0.0008146313,0.0007077104,0.001031753,0.0009321261,0.0005803644,0.006247816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834379,"about_ca_system_score_gemma":0.0005576526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896765,"about_ca_topic_score_gemma":0.002506902,"domain_scores_codex":[0.9989043,0.000190657,0.00004026972,0.0001293721,0.0006958876,0.00003944995],"domain_scores_gemma":[0.9985093,0.000606658,0.0001658909,0.000280135,0.0003887038,0.00004913023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006276697,0.00006428128,0.003202864,0.0004059976,0.00005811231,0.001328696,0.0004758417,0.04184599,0.339708,0.02039192,0.03125552,0.5606351],"study_design_scores_gemma":[0.00003497694,0.0003071237,0.006450377,0.0001050936,0.00004452987,0.002435558,0.0001003209,0.3949099,0.505111,0.004214231,0.08618168,0.0001051157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03030615,0.00128404,0.9497178,0.0005302166,0.0005970249,0.00007653161,0.0003895054,0.004363219,0.01273563],"genre_scores_gemma":[0.3604383,0.003873391,0.5810093,0.0004464064,0.0003797897,0.0001762305,0.001718587,0.003901195,0.04805687],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9897079,"threshold_uncertainty_score":0.03443056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009687795962153509,"score_gpt":0.2157626394113887,"score_spread":0.2060748434492352,"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."}}