{"id":"W2787822496","doi":"10.1364/boe.9.000898","title":"Automatic interstitial photodynamic therapy planning via convex optimization","year":2018,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of British Columbia; Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence; International Business Machines Corporation","keywords":"Computer science; Photodynamic therapy; Concomitant; Selection (genetic algorithm); Light source; Power (physics); Mathematical optimization; Medicine; Artificial intelligence; Optics; Surgery; Mathematics; Physics; Chemistry","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":[0.0007269682,0.001120296,0.000923723,0.0005143988,0.000337867,0.0008975355,0.0008833265,0.0007252414,0.002445208],"category_scores_gemma":[0.001713361,0.0008032011,0.0008216595,0.0005405225,0.0006429502,0.0005638883,0.0009215552,0.001174017,0.0006209263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095933,"about_ca_system_score_gemma":0.001264156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006196671,"about_ca_topic_score_gemma":0.006867433,"domain_scores_codex":[0.9995327,0.0001608106,0.00001884723,0.00008957026,0.0001505137,0.0000476311],"domain_scores_gemma":[0.9993451,0.0004453128,0.00006168105,0.00004332476,0.00007662331,0.0000279636],"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":[0.00003769724,0.00001566604,0.00009411084,0.00003035064,0.00001133036,0.00001930144,0.00001676112,0.9710271,0.001945981,0.001572305,0.0008724935,0.02435691],"study_design_scores_gemma":[0.000005192414,0.000007490665,0.00002395274,0.000001984585,0.00000186803,0.000006199861,0.000002750395,0.9979653,0.0006592817,0.0010529,0.0002710661,0.000002082707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004139871,0.00009682507,0.9938039,0.00009054313,0.000009096059,0.00003485899,0.00004509204,0.0006122244,0.001167535],"genre_scores_gemma":[0.3302775,0.0003061621,0.6643543,0.0001507175,0.00003625853,0.000351151,0.000366091,0.0006614609,0.003496324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006196671,"threshold_uncertainty_score":0.01232123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008984640089754652,"score_gpt":0.2393711020077605,"score_spread":0.2303864619180059,"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."}}