{"id":"W2971309302","doi":"10.1109/pn.2019.8819600","title":"iPDT for Glioblastoma Multiforme Management: Dosimetric Enhancements","year":2019,"lang":"en","type":"article","venue":"","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Glioblastoma; Photosensitizer; Photodynamic therapy; Magnetic resonance imaging; Radiation therapy; Materials science; Medicine; Nuclear medicine; Biomedical engineering; Chemistry; Radiology; Cancer research","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":[0.0001781819,0.0002678835,0.0001781104,0.0003094495,0.00007847574,0.0002375073,0.000170637,0.0001982294,0.0007559536],"category_scores_gemma":[0.000170779,0.0000577137,0.0001714837,0.0002471619,0.0001485509,0.0002421509,0.0002238718,0.0002066005,0.0002062191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604423,"about_ca_system_score_gemma":0.0001723331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006089169,"about_ca_topic_score_gemma":0.001159242,"domain_scores_codex":[0.9999613,0.000009960278,0.000002094944,0.000007919155,0.00001391197,0.000004762442],"domain_scores_gemma":[0.9999623,0.00000719023,0.00001647646,0.000003501182,0.000006089561,0.000004505852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008941576,0.0002177707,0.005464078,0.000868489,0.00008920925,0.0004283894,0.00008890385,0.009991199,0.4703603,0.001554994,0.001052565,0.5089899],"study_design_scores_gemma":[0.0001882395,0.008873118,0.1020558,0.0002376395,0.0005051906,0.01242083,0.0001856365,0.04358868,0.7706703,0.004515564,0.0566892,0.00006987482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7030158,0.1387816,0.1417529,0.002346756,0.0001505509,0.000233614,0.000494065,0.001077735,0.01214702],"genre_scores_gemma":[0.9615,0.02054069,0.01572934,0.0001546109,0.00005343984,0.00004914899,0.0002106198,0.00007312263,0.001688997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007559536,"threshold_uncertainty_score":0.002615213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110155858998316,"score_gpt":0.3168422409754722,"score_spread":0.3058266550756406,"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."}}