{"id":"W2055573945","doi":"10.1088/0031-9155/55/10/003","title":"Cone beam optical computed tomography for gel dosimetry I: scanner characterization","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Optics; Scanner; Dosimeter; Materials science; Dosimetry; Cone beam computed tomography; Image resolution; Attenuation; Scattering; Physics; Nuclear medicine; Radiation; Computed tomography; Medicine","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":[0.001675245,0.0004190179,0.0003751568,0.0006494085,0.0002153201,0.0006763142,0.0005028093,0.0005919636,0.001832087],"category_scores_gemma":[0.002355867,0.0002566037,0.0001881579,0.0004650676,0.0004215833,0.0005095121,0.0002415205,0.0004956481,0.0004150188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971448,"about_ca_system_score_gemma":0.0008948965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558508,"about_ca_topic_score_gemma":0.002428633,"domain_scores_codex":[0.9994937,0.0001291416,0.00003107877,0.00005079553,0.0002671403,0.00002811026],"domain_scores_gemma":[0.9984522,0.0008040093,0.000170763,0.0001537172,0.000366075,0.00005314697],"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":[0.0002317467,0.00006143352,0.003965096,0.0003837333,0.00001892122,0.0002384502,0.0001136419,0.002105225,0.9408734,0.001020199,0.0005531799,0.05043499],"study_design_scores_gemma":[0.00002776632,0.0008267965,0.01814019,0.0001042469,0.00005243405,0.004138977,0.0001311804,0.04109866,0.9183739,0.0005876302,0.01645527,0.000062885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3649537,0.01064751,0.6140151,0.0007072309,0.00006362614,0.001132454,0.001007583,0.001195518,0.006277387],"genre_scores_gemma":[0.4487854,0.004591242,0.5414152,0.000311504,0.00003148627,0.0006397312,0.000890866,0.0003048495,0.003029777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001832087,"threshold_uncertainty_score":0.008859694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689475478343232,"score_gpt":0.356266774950575,"score_spread":0.3093720201671427,"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."}}