{"id":"W2971045498","doi":"10.1002/mp.13790","title":"Preclinical dose verification using a 3D printed mouse phantom for radiobiology experiments","year":2019,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec; University of Victoria","funders":"","keywords":"Imaging phantom; Isocenter; Dosimetry; Dosimeter; Context (archaeology); Medical physics; Nuclear medicine; Medical imaging; Biomedical engineering; Dose profile; Materials science; Computer science; Medicine; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118288,0.0008223816,0.0003920375,0.0007837908,0.0001960332,0.0006486501,0.0007566491,0.0007891512,0.001867596],"category_scores_gemma":[0.001051315,0.0004424285,0.0006113953,0.0004438643,0.0004484195,0.0003748696,0.0004943365,0.0006498205,0.0005535341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004646677,"about_ca_system_score_gemma":0.0005392293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158281,"about_ca_topic_score_gemma":0.0005025455,"domain_scores_codex":[0.9995579,0.00006841543,0.00003888392,0.00009124176,0.0002064563,0.00003708062],"domain_scores_gemma":[0.9990405,0.00028923,0.0002550127,0.0002166338,0.0001481478,0.00005037672],"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":[0.0002046518,0.000107322,0.000463948,0.0001724739,0.00001566155,0.0001706465,0.00009060583,0.01142018,0.9783309,0.0006949531,0.0002756217,0.008053087],"study_design_scores_gemma":[0.00002756729,0.001062216,0.001889736,0.00003229484,0.0000581128,0.0005126215,0.0000233076,0.01422493,0.9739438,0.0002362296,0.007947372,0.00004183872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4632609,0.003581629,0.5155761,0.0003593167,0.0002984894,0.001619545,0.003180736,0.00446052,0.007662718],"genre_scores_gemma":[0.7279792,0.002282619,0.2595119,0.0002811331,0.00003502315,0.001676046,0.00167894,0.0005867985,0.005968174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001867596,"threshold_uncertainty_score":0.006247699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036845455394058,"score_gpt":0.3852144153556334,"score_spread":0.3448459608016929,"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."}}