{"id":"W4393151478","doi":"10.1097/hp.0000000000001777","title":"3D Printed Lung Phantom for Individual Monitoring","year":2024,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"3d printed; Imaging phantom; 3D printing; Computer science; 3d printer; Materials science; Biomedical engineering; Engineering; Nuclear medicine; Mechanical engineering; Medicine; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001379527,0.0006323062,0.0003183748,0.0006917897,0.0002153964,0.0008283929,0.0009461566,0.0009141584,0.005861525],"category_scores_gemma":[0.001789901,0.0003864631,0.0005025127,0.0004391841,0.0003264476,0.000525974,0.0007412928,0.000407865,0.00195855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007588298,"about_ca_system_score_gemma":0.0008902755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146836,"about_ca_topic_score_gemma":0.001419311,"domain_scores_codex":[0.9990995,0.0001760456,0.00005683258,0.0001344048,0.0005003051,0.00003293523],"domain_scores_gemma":[0.9988139,0.0004619857,0.0001130564,0.0002396244,0.0003408559,0.00003053085],"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":[0.0005915105,0.0001986228,0.004429371,0.0006906262,0.00006484062,0.0005470114,0.0002055733,0.02172146,0.8428954,0.003988485,0.007522017,0.1171451],"study_design_scores_gemma":[0.00007189131,0.0007339469,0.008836404,0.0001075248,0.0001046303,0.002695546,0.00005736082,0.07132253,0.839226,0.00101543,0.07568578,0.0001428811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09456816,0.002066227,0.8760694,0.0006724186,0.0003991444,0.0008228477,0.00314724,0.007467336,0.01478721],"genre_scores_gemma":[0.423095,0.001116057,0.5548829,0.001108695,0.00006146458,0.001290215,0.003392502,0.0005834323,0.01446963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005861525,"threshold_uncertainty_score":0.01960874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06540911525142921,"score_gpt":0.420659043216618,"score_spread":0.3552499279651887,"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."}}