{"id":"W2077684344","doi":"10.1118/1.3611851","title":"SU‐E‐J‐83: Feasiblity of Real Time Tumour Tracking in Low Field MRI ‐ A Phantom Study","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Centroid; Contrast-to-noise ratio; Tracking (education); Nuclear medicine; Computer science; Computer vision; Physics; Artificial intelligence; Medicine; Image quality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005091119,0.0003142977,0.0002261608,0.0002462636,0.0001008858,0.0004197465,0.0004794704,0.0005642317,0.0008953562],"category_scores_gemma":[0.0008123128,0.0002199794,0.0001445322,0.0002898349,0.000192575,0.0002678008,0.0001936778,0.0002473642,0.0002715844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002240196,"about_ca_system_score_gemma":0.0003152809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653697,"about_ca_topic_score_gemma":0.001238944,"domain_scores_codex":[0.9998509,0.00005034359,0.00000779152,0.00003582319,0.00003115663,0.00002410263],"domain_scores_gemma":[0.9996735,0.0001452467,0.00006235801,0.00004474659,0.00004563414,0.00002854366],"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":[0.0006987785,0.0001607941,0.001170077,0.0002688476,0.0000331138,0.0002519806,0.00009493242,0.00981526,0.9738206,0.0003362993,0.0004162238,0.01293325],"study_design_scores_gemma":[0.00006194132,0.00161211,0.005087958,0.00003339566,0.00009763202,0.0007868792,0.00004916963,0.06286187,0.9252939,0.0001106689,0.003976928,0.00002751819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9222278,0.002177363,0.07116645,0.0001866898,0.0000353234,0.00008302752,0.0002456309,0.000727708,0.003150011],"genre_scores_gemma":[0.954546,0.0007551328,0.04122042,0.00007067619,0.000006984216,0.00008121315,0.0004291841,0.0001977077,0.002692757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001653697,"threshold_uncertainty_score":0.00328809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105501261619211,"score_gpt":0.3149372966964761,"score_spread":0.2938822840802841,"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."}}