{"id":"W2007071100","doi":"10.1118/1.2722471","title":"Integral test phantom for dosimetric quality assurance of image guided and intensity modulated stereotactic radiotherapy","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"Sun Nuclear Corporation","keywords":"Imaging phantom; Quality assurance; Dosimetry; Multileaf collimator; Ionization chamber; Radiosurgery; Linear particle accelerator; Image quality; Collimator; Radiation treatment planning; Intensity modulation; Nuclear medicine; Calibration; Reproducibility; Medical physics; Medical imaging; Optics; Beam (structure); Radiation therapy; Physics; Medicine; Computer science; Radiology; Mathematics; Computer vision; Image (mathematics)","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":[0.002361474,0.0005749566,0.0005476761,0.0008329485,0.0002417504,0.001012658,0.001354802,0.0006443046,0.003735037],"category_scores_gemma":[0.00567296,0.0005061082,0.000413674,0.0007438918,0.0005747328,0.0005099144,0.0006764386,0.0006387317,0.0007455223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008426376,"about_ca_system_score_gemma":0.0009158232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004948609,"about_ca_topic_score_gemma":0.0003923508,"domain_scores_codex":[0.9983064,0.0004315855,0.00009228368,0.0001633732,0.0009267876,0.00007959039],"domain_scores_gemma":[0.9966479,0.001513483,0.0003119781,0.0005770088,0.0008390179,0.0001105267],"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":[0.0005465134,0.0002161955,0.001476235,0.0006376987,0.00003558515,0.0001720383,0.0001850629,0.04088417,0.8734038,0.009433601,0.001368047,0.07164099],"study_design_scores_gemma":[0.0000650189,0.001142905,0.004801276,0.00009719622,0.00009231254,0.001423108,0.00003583169,0.1210571,0.8347288,0.001370164,0.035102,0.00008430376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04494466,0.000966724,0.945043,0.0001185363,0.0001293441,0.00056088,0.0004097135,0.003610262,0.004216823],"genre_scores_gemma":[0.40674,0.000748934,0.5833164,0.0001979474,0.00003863237,0.0009122744,0.001517427,0.0009984373,0.005529874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003735037,"threshold_uncertainty_score":0.01249492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064384653372284,"score_gpt":0.3496900963864417,"score_spread":0.3290462498527189,"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."}}