{"id":"W2052757853","doi":"10.1118/1.1760186","title":"Elimination of ghost markers during dual sensor‐based infrared tracking of multiple individual reflective markers","year":2004,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Tracking (education); Imaging phantom; Torso; Physics; Artificial intelligence; Computer vision; Computer science; Optics; Medicine; Anatomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0009649263,0.000358195,0.0004302849,0.000341002,0.0001826019,0.0005383616,0.0005192974,0.0003852636,0.0003913984],"category_scores_gemma":[0.002395762,0.0003568026,0.0003648827,0.0003895231,0.0003660411,0.0006033867,0.0007437486,0.0004131859,0.0002272066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002743053,"about_ca_system_score_gemma":0.0003689837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003000843,"about_ca_topic_score_gemma":0.0003088079,"domain_scores_codex":[0.9993344,0.0001904334,0.00003624323,0.0001237421,0.0002559374,0.00005929788],"domain_scores_gemma":[0.9983346,0.0005634659,0.0003909976,0.000446198,0.0001871856,0.00007762722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001490263,0.0001046297,0.008844984,0.0002017663,0.00005655565,0.0005922329,0.001064114,0.02124993,0.8503608,0.0009872961,0.000242229,0.1148053],"study_design_scores_gemma":[0.00005123181,0.00152782,0.0261704,0.00005165263,0.0001068861,0.001857795,0.0001557356,0.1288487,0.8369736,0.0006973651,0.003471045,0.0000878001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6761835,0.0005345344,0.3211712,0.00004729362,0.00004670715,0.00005511778,0.00002976477,0.0005199687,0.001411987],"genre_scores_gemma":[0.9108003,0.0001423818,0.08779436,0.00003050141,0.000006939632,0.00002398551,0.00005139306,0.00007575784,0.001074375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009649263,"threshold_uncertainty_score":0.005103052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331121131243218,"score_gpt":0.2852017044494219,"score_spread":0.2718904931369897,"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."}}