{"id":"W2029665116","doi":"10.1118/1.3611462","title":"SU‐C‐BRA‐02: Modular Patient‐Specific Compensation for Co‐60 TBI Treatments Based on Monte Carlo Design","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Monte Carlo method; Supine position; Monitor unit; Nuclear medicine; Collimator; Beam (structure); Multileaf collimator; Dosimetry; Attenuation; Flattening; Physics; Linear particle accelerator; Medicine; Mathematics; Optics; Surgery; Statistics","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":[0.0004956581,0.0004872992,0.0003150231,0.0002751204,0.000166289,0.0004417201,0.0008844378,0.0004077997,0.002289933],"category_scores_gemma":[0.0009197579,0.0003297916,0.0002803168,0.0002927411,0.0002622928,0.0002399786,0.0002981702,0.0003928843,0.0006095916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649807,"about_ca_system_score_gemma":0.0008264919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673342,"about_ca_topic_score_gemma":0.002808044,"domain_scores_codex":[0.9996873,0.00005993276,0.00001228412,0.00003935967,0.0001740608,0.00002703023],"domain_scores_gemma":[0.9996312,0.00009459118,0.00008947142,0.00007527325,0.00008203331,0.0000275192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008323633,0.0001967409,0.006546816,0.0003671832,0.0001651685,0.0002494764,0.0001978594,0.5590305,0.2862126,0.007422666,0.003983654,0.1347948],"study_design_scores_gemma":[0.00006635441,0.0004469004,0.004152755,0.00002319198,0.0000610832,0.0005371363,0.00001642944,0.854897,0.1260223,0.0007069835,0.01300373,0.0000661473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069682,0.0004933774,0.8797431,0.0001344318,0.00005027144,0.0003186154,0.0002469593,0.004217709,0.007827275],"genre_scores_gemma":[0.6712126,0.0001966816,0.3234463,0.000106855,0.00001196122,0.0003480465,0.0003284815,0.0006738201,0.003675378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002289933,"threshold_uncertainty_score":0.007660568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0399081415714229,"score_gpt":0.28081741361802,"score_spread":0.2409092720465971,"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."}}