{"id":"W4406230150","doi":"10.1002/mp.17597","title":"Optimizing the deliverability of binary collimation‐based SRS treatment for multiple metastases with multiple prescriptions","year":2025,"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":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Collimated light; Truebeam; Radiosurgery; Linear particle accelerator; Dosimetry; Nuclear medicine; Radiation treatment planning; Binary number; Physics; Computer science; Radiation therapy; Medical physics; Optics; Beam (structure); Mathematics; Medicine; Surgery; Laser","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":[0.0002325522,0.00023135,0.0001758391,0.0002794543,0.0001207243,0.0002961025,0.0002085708,0.0001518259,0.0007527339],"category_scores_gemma":[0.0008795975,0.0001657188,0.0001613149,0.0002195375,0.0001071278,0.0001989146,0.0002602639,0.0001691928,0.0001639846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288626,"about_ca_system_score_gemma":0.0003888447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319745,"about_ca_topic_score_gemma":0.001719127,"domain_scores_codex":[0.999838,0.00002206686,0.00001376255,0.00003218711,0.00007278832,0.00002116579],"domain_scores_gemma":[0.9997606,0.00007433088,0.00009502225,0.00002624102,0.00002991911,0.00001392372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005199612,0.0001061648,0.003037792,0.0001646516,0.00002006533,0.00005904591,0.0001220883,0.02353993,0.9138612,0.0004195388,0.0001859777,0.05796358],"study_design_scores_gemma":[0.00009481188,0.001865978,0.03474827,0.00002363485,0.00008684221,0.0004244172,0.00006681361,0.1208606,0.8380066,0.0002765246,0.003504051,0.00004147823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255595,0.0007506105,0.07099793,0.00004919121,0.00001142152,0.0000735119,0.0001050121,0.0003627539,0.002089983],"genre_scores_gemma":[0.9832455,0.0001545099,0.01588235,0.00001080042,0.000002474234,0.00002569934,0.00005572703,0.0001167699,0.0005062603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001319745,"threshold_uncertainty_score":0.002624154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214875060777339,"score_gpt":0.3026685897593768,"score_spread":0.2811810836816429,"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."}}