{"id":"W2005915890","doi":"10.1118/1.4736252","title":"TH‐A‐BRA‐03: Daily IGRT QA Phantom for MR‐Guided Linacs","year":2012,"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 Toronto","funders":"","keywords":"Imaging phantom; Truebeam; Linear particle accelerator; Image-guided radiation therapy; Quality assurance; Nuclear medicine; Scanner; Image quality; Medical imaging; Contouring; Medical physics; Computer science; Medicine; Physics; Computer vision; Artificial intelligence; Optics; Computer graphics (images)","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":[0.001033739,0.0005374813,0.0002910863,0.0004357192,0.0001826416,0.0006085473,0.001100715,0.0008491725,0.00374076],"category_scores_gemma":[0.002232758,0.0003808165,0.00035241,0.000330756,0.0003879468,0.0004016005,0.0005091931,0.0004422149,0.001215681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005815632,"about_ca_system_score_gemma":0.0008177477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005141858,"about_ca_topic_score_gemma":0.0005179407,"domain_scores_codex":[0.999549,0.0001358233,0.00002636158,0.00008504518,0.0001694478,0.00003439529],"domain_scores_gemma":[0.9988447,0.0004049632,0.0001350173,0.0002547532,0.0002822166,0.00007824349],"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":[0.001257224,0.0005069405,0.005872657,0.001170691,0.00007365561,0.0004595725,0.0005286518,0.1621936,0.6966708,0.00818667,0.006392535,0.1166869],"study_design_scores_gemma":[0.0002695043,0.002562241,0.0146406,0.0001853714,0.0001634978,0.004252882,0.00008843299,0.2929427,0.6057941,0.00170683,0.07716456,0.0002293715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1161008,0.0005079434,0.8666427,0.0002986498,0.0001099061,0.0004905394,0.0008951513,0.005943687,0.009010605],"genre_scores_gemma":[0.4581302,0.0001911408,0.5332925,0.0002347225,0.00002767978,0.0005223511,0.00117967,0.001090551,0.005331249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00374076,"threshold_uncertainty_score":0.01251405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105918896059026,"score_gpt":0.3306393413720302,"score_spread":0.3095801524114399,"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."}}