{"id":"W4405450801","doi":"10.1016/j.brachy.2024.11.012","title":"Impact of robust optimization on patient specific error thresholds for high dose rate prostate brachytherapy source tracking","year":2024,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Hôtel-Dieu de Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Brachytherapy; Dose rate; Tracking (education); Prostate brachytherapy; Prostate; Prostate cancer; Medical physics; Urology; Radiology; Internal medicine; Radiation therapy; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003672615,0.001254876,0.0008130992,0.0005037817,0.0003558397,0.001478227,0.0008650165,0.001622543,0.002007586],"category_scores_gemma":[0.01966691,0.0005984072,0.0007727351,0.0004070526,0.0005631346,0.001014057,0.001226841,0.001062632,0.0004202886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007207117,"about_ca_system_score_gemma":0.001517209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004076723,"about_ca_topic_score_gemma":0.002948368,"domain_scores_codex":[0.9985153,0.0006406548,0.00009428217,0.0002425747,0.0003836277,0.0001235661],"domain_scores_gemma":[0.9925938,0.005635382,0.0004796604,0.00047637,0.0007264041,0.00008834189],"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":[0.0007036761,0.0000754728,0.001119874,0.0001453699,0.00009922302,0.00005212346,0.0000643481,0.9538602,0.01164975,0.001218625,0.0005610824,0.03045035],"study_design_scores_gemma":[0.00004461061,0.0001922661,0.001878352,0.00003697958,0.00005527577,0.00006961964,0.00002855005,0.9792118,0.01657705,0.001263504,0.0006131526,0.00002876212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1755365,0.001888309,0.8126502,0.0009247046,0.0001776893,0.0001066215,0.000319598,0.003304671,0.005091704],"genre_scores_gemma":[0.8945807,0.0002069223,0.1023812,0.0002488878,0.00002848517,0.00005375667,0.0003184783,0.0009141492,0.0012674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004076723,"threshold_uncertainty_score":0.01942289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538415273314899,"score_gpt":0.3130996514035393,"score_spread":0.2777154986703904,"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."}}