{"id":"W2064337341","doi":"10.1120/jacmp.v9i3.2832","title":"Dosimetric verification of micro‐MLC based intensity modulated radiation therapy","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Dosimetry; Multileaf collimator; Quality assurance; Imaging phantom; Nuclear medicine; Collimator; Intensity modulation; Ionization chamber; Materials science; Radiation treatment planning; Medical physics; Radiation therapy; Medicine; Optics; Physics; Radiology","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":[0.0007392467,0.0001577159,0.0006318268,0.00008517707,0.00005723726,0.000005359812,0.000317795,0.0001494398,0.0001439297],"category_scores_gemma":[0.00009258699,0.0001264816,0.0003271555,0.0004593878,0.0002959845,0.0000985931,0.0000177396,0.0006667252,0.00000269304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003759782,"about_ca_system_score_gemma":0.0002646721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006716809,"about_ca_topic_score_gemma":2.024456e-8,"domain_scores_codex":[0.9977545,0.00007365769,0.001203629,0.000179558,0.0006244285,0.0001642206],"domain_scores_gemma":[0.9974946,0.0005206527,0.001200472,0.0002644623,0.0003122942,0.0002075091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001728953,0.003457024,0.07689066,0.0000190002,0.0005550937,0.000009713345,0.0002002153,0.0004248978,0.02730532,0.002211422,0.00281675,0.8843809],"study_design_scores_gemma":[0.0193948,0.00276589,0.1881471,0.0002281538,0.0002099943,0.00001796492,0.0000547824,0.0164112,0.7039891,0.05508974,0.01260108,0.00109022],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6226133,0.00009909629,0.3763718,0.0001813578,0.0002210547,0.0001783315,0.000004958878,0.00002329092,0.0003068542],"genre_scores_gemma":[0.9862414,0.0003696942,0.0118237,0.000419176,0.001102465,0.000003789184,0.00001210893,0.00002356484,0.000004106336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8832907,"threshold_uncertainty_score":0.5157768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336570375424777,"score_gpt":0.3372300526104673,"score_spread":0.3035730150679896,"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."}}