{"id":"W4246094498","doi":"10.36227/techrxiv.13440122","title":"Design of an anthropomorphic PET phantom with elastic lungs and respiration modeling","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; National Institutes of Health; BC Cancer Foundation; Ministry of Earth Sciences; University of British Columbia; Ministry of Education, India","keywords":"Imaging phantom; Torso; Breathing; Physics; Correction for attenuation; Nuclear medicine; Biomedical engineering; Computer science; Positron emission tomography; Simulation; 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":[0.0006617684,0.0007062703,0.0003413746,0.0002961668,0.0001695659,0.0004569987,0.000924445,0.0008181764,0.00336065],"category_scores_gemma":[0.001050625,0.0004951986,0.0003417875,0.0001734379,0.0003589042,0.0004254259,0.0005514657,0.0003317688,0.0008636856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002826602,"about_ca_system_score_gemma":0.0006833789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003662336,"about_ca_topic_score_gemma":0.0003402121,"domain_scores_codex":[0.9997764,0.00005427867,0.00001781793,0.00004662161,0.00008636835,0.00001837479],"domain_scores_gemma":[0.9996023,0.0001431482,0.00007665926,0.00005785021,0.0000745878,0.00004556957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006022407,0.000211858,0.001531453,0.000893645,0.00005196456,0.001248175,0.0003246949,0.1283365,0.8169626,0.0056002,0.002829027,0.04140748],"study_design_scores_gemma":[0.0002580287,0.002319733,0.006372814,0.0001925252,0.0001827415,0.003377048,0.0001706193,0.3889658,0.5127222,0.0022136,0.08302212,0.00020272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0834018,0.0004982196,0.9051847,0.0005786063,0.0001489655,0.0007590482,0.0005947579,0.002044177,0.006789694],"genre_scores_gemma":[0.4149044,0.0007609491,0.5709014,0.0003885101,0.00002808589,0.001455284,0.0007687425,0.0004416119,0.010351],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00336065,"threshold_uncertainty_score":0.01124251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405107315102461,"score_gpt":0.3025808051610937,"score_spread":0.2685297320100691,"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."}}