{"id":"W4387652321","doi":"10.1093/jrr/rrad075","title":"Evaluations of patient-specific bolus fabricated by mold-and-cast method using computer numerical control machine tools","year":2023,"lang":"en","type":"article","venue":"Journal of Radiation Research","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Seoul National University Hospital; Seoul National University","keywords":"Mold; Bolus (digestion); Materials science; Imaging phantom; Numerical control; Biomedical engineering; Silicone; 3d printer; Composite material; Nuclear medicine; Medicine; Surgery; Mechanical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448489,0.00006449664,0.0002310311,0.0004893183,0.00006339377,0.00002011004,0.0001239294,0.00009958711,0.00007450639],"category_scores_gemma":[0.0003247019,0.00005641052,0.00005194111,0.0008060315,0.00006209712,0.000109954,0.00002868199,0.0004929221,0.000009440811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009633233,"about_ca_system_score_gemma":0.00004997303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008183109,"about_ca_topic_score_gemma":1.423078e-7,"domain_scores_codex":[0.9984593,0.0002515868,0.0004163934,0.00008056608,0.0005752308,0.0002169118],"domain_scores_gemma":[0.9988078,0.0006488343,0.00009652221,0.00009084111,0.0002377958,0.0001182426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003994619,0.00004948219,0.0004953078,0.00002643481,0.0001219624,0.0000218232,0.0002296382,0.03259278,0.01101124,0.0004626834,0.01865819,0.9362905],"study_design_scores_gemma":[0.0009887941,0.0001887808,0.002409429,0.00002494574,0.00001493551,0.0000468754,0.00008745321,0.9616778,0.003226352,0.000315529,0.03095612,0.00006294705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2995881,0.004248554,0.6940134,0.00145071,0.000248206,0.0002511869,0.00003703669,0.00006842428,0.00009446877],"genre_scores_gemma":[0.9933415,0.001058219,0.005458809,0.00002592915,0.00008003617,0.000003941809,0.000008109928,0.00001353568,0.000009898548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9362276,"threshold_uncertainty_score":0.2300354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06129371340201554,"score_gpt":0.3916132866484028,"score_spread":0.3303195732463873,"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."}}