{"id":"W3133731217","doi":"10.1088/1361-6560/abebaa","title":"A robotically assisted 3D printed quality assurance lung phantom for Calypso","year":2021,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Varian Medical Systems","keywords":"Imaging phantom; Quality assurance; 3d printed; Left lung; Computer science; Lung; Quality (philosophy); Biomedical engineering; Nuclear medicine; Medical physics; Medicine; Physics; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116449,0.0006111279,0.0002637724,0.000509231,0.000129029,0.000679519,0.0008353756,0.001017762,0.002654864],"category_scores_gemma":[0.001404905,0.0004067334,0.0004544664,0.0003152282,0.0003418615,0.0003219868,0.0003975857,0.0004224998,0.0005690389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001983,"about_ca_system_score_gemma":0.0005795791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003212414,"about_ca_topic_score_gemma":0.0004882086,"domain_scores_codex":[0.9993922,0.0001100045,0.00003790508,0.000124506,0.0003077557,0.00002772505],"domain_scores_gemma":[0.9988967,0.0004463211,0.0002325596,0.0002013069,0.0001668428,0.00005629923],"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":[0.0003269358,0.0001563714,0.001075228,0.0007241609,0.00002866626,0.0004680089,0.0001482972,0.05484369,0.8980606,0.001815787,0.001425,0.04092721],"study_design_scores_gemma":[0.0001166328,0.001969475,0.007776611,0.0001482788,0.000145871,0.002437813,0.00005172697,0.114372,0.818889,0.000874079,0.05304436,0.0001741934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1578619,0.001732437,0.824843,0.0003208298,0.0002546988,0.00109572,0.0013853,0.003979056,0.008527041],"genre_scores_gemma":[0.5634156,0.0008294125,0.4241616,0.0003433705,0.00003341369,0.001023856,0.001273585,0.0004118731,0.008507147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002654864,"threshold_uncertainty_score":0.00888133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441225058557927,"score_gpt":0.4564464820085438,"score_spread":0.3123239761527511,"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."}}