{"id":"W2142723533","doi":"10.1117/1.3080134","title":"Hardware acceleration of a Monte Carlo simulation for photodynamic treatment planning","year":2009,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Monte Carlo method; Acceleration; Computer science; Photodynamic therapy; Medical physics; Optics; Physics; Chemistry; Mathematics","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":[0.0003130933,0.0003704111,0.0002635746,0.0002882968,0.0003203838,0.0005184608,0.0006411588,0.0003086684,0.0069944],"category_scores_gemma":[0.001119794,0.0002199924,0.0002389836,0.0003147625,0.0001977169,0.0002676596,0.0002553095,0.0004409109,0.0006653797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022342,"about_ca_system_score_gemma":0.0009996949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028586,"about_ca_topic_score_gemma":0.003984052,"domain_scores_codex":[0.9998267,0.00003510943,0.000008810829,0.0000208178,0.00008712363,0.00002145269],"domain_scores_gemma":[0.9995642,0.0002479866,0.00002103697,0.00004682477,0.00009650474,0.0000232902],"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":[0.0007029111,0.0001199816,0.003651553,0.0002266426,0.00006127664,0.0002294281,0.0002014927,0.6751408,0.07185075,0.01641531,0.008664176,0.2227357],"study_design_scores_gemma":[0.00003763501,0.00007439696,0.0007835212,0.00001256126,0.00001739446,0.00006604867,0.00001495018,0.9705537,0.02017487,0.000884813,0.007366919,0.00001329526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1155626,0.0004625632,0.8522779,0.0004647551,0.0001853256,0.0002346035,0.0003170651,0.008860833,0.02163425],"genre_scores_gemma":[0.7078702,0.0001613512,0.288739,0.0001037586,0.00001562618,0.0001499453,0.0002313009,0.0002188589,0.002510058],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0069944,"threshold_uncertainty_score":0.02339858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087215624202649,"score_gpt":0.3479012913934673,"score_spread":0.3270291351514408,"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."}}