{"id":"W3116242369","doi":"10.36227/techrxiv.13440122.v1","title":"Design of an Anthropomorphic Respiratory Phantom for PET Imaging","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; Nuclear medicine; Correction for attenuation; Positron emission tomography; Biomedical engineering; Physics; Computer science; 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":[0.001140756,0.0009687348,0.0004504562,0.000542932,0.0002117391,0.0005996819,0.001287857,0.001031662,0.003810619],"category_scores_gemma":[0.001842248,0.0005352688,0.0005485443,0.0002340751,0.000381005,0.0004320401,0.0007713668,0.0005195687,0.001112258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002517056,"about_ca_system_score_gemma":0.0008195564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002573635,"about_ca_topic_score_gemma":0.0002644722,"domain_scores_codex":[0.9995066,0.0001314794,0.00004595807,0.00009633486,0.0001808083,0.00003880613],"domain_scores_gemma":[0.9991692,0.0003080024,0.000128709,0.0001413725,0.0001661662,0.00008655709],"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":[0.00055731,0.0002486727,0.002615264,0.001602718,0.00007132065,0.001322819,0.0004012276,0.06157821,0.8500189,0.004355359,0.002796731,0.07443146],"study_design_scores_gemma":[0.0003482644,0.004375149,0.01105392,0.000432185,0.0003883714,0.008387756,0.0001924388,0.1977979,0.622008,0.003002924,0.1516764,0.0003366503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0478585,0.0006946225,0.9432886,0.000303955,0.0001981511,0.00122253,0.0005513722,0.002687771,0.003194555],"genre_scores_gemma":[0.2541162,0.0009254497,0.7356689,0.0002482993,0.00003813095,0.002418866,0.0008858416,0.0005309996,0.005167317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003810619,"threshold_uncertainty_score":0.01274776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678222135383608,"score_gpt":0.3500410932044901,"score_spread":0.303258871850654,"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."}}