{"id":"W1539303755","doi":"10.1120/jacmp.v16i3.5139","title":"Simulation of a medical linear accelerator for teaching purposes","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Trillium Health Centre","funders":"","keywords":"Linear particle accelerator; Software; MATLAB; Computer science; Accelerator physics; Particle accelerator; Range (aeronautics); Set (abstract data type); Service (business); Simulation; Medical physics; Beam (structure); Physics; Operating system; Aerospace engineering; Optics; Engineering; Programming language","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":[0.0031422,0.0001621606,0.0007234799,0.00003721495,0.00004325554,0.000008849253,0.0005488137,0.0002224023,0.0001117064],"category_scores_gemma":[0.001235705,0.0001225841,0.0003471194,0.0000993382,0.000263418,0.0001421166,0.00007079739,0.001054471,0.000001495832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002909199,"about_ca_system_score_gemma":0.0006260423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003542417,"about_ca_topic_score_gemma":1.390312e-7,"domain_scores_codex":[0.9965804,0.00008614827,0.001466416,0.000172429,0.001486444,0.0002081361],"domain_scores_gemma":[0.9955244,0.002332805,0.0009949041,0.0001925903,0.0003264502,0.0006288716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001265489,0.002924282,0.00545431,0.00006727378,0.0006372464,0.000008427585,0.0005913634,0.006406568,0.0001988993,0.09359569,0.004468194,0.8843822],"study_design_scores_gemma":[0.02109904,0.004043252,0.000221188,0.0008212803,0.0004124923,0.000007135041,0.000821159,0.3343963,0.009975558,0.5019168,0.1252739,0.001011922],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05604539,0.00003685788,0.9419883,0.0005741429,0.0003441146,0.0002459127,0.000008235917,0.00002273227,0.0007342909],"genre_scores_gemma":[0.9452243,0.00001439525,0.04798745,0.0004577794,0.006258375,0.00001109168,0.000006118343,0.00003303108,0.000007486739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8940009,"threshold_uncertainty_score":0.4998835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0745133951855076,"score_gpt":0.4486682494535821,"score_spread":0.3741548542680745,"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."}}