{"id":"W2139282207","doi":"10.1002/lsm.20088","title":"Increased brain tumor resection using fluorescence image guidance in a preclinical model","year":2004,"lang":"en","type":"article","venue":"Lasers in Surgery and Medicine","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; University Health Network; St. Michael's Hospital","funders":"National Cancer Institute; DUSA Pharmaceuticals","keywords":"Protoporphyrin IX; Resection; Histopathology; Brain tumor; Medicine; Pathology; Nuclear medicine; Fluorescence; Radiology; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000565176,0.00009209125,0.0001775933,0.00009536937,0.00003136062,0.000004895189,0.00004543199,0.00005606556,0.000005305306],"category_scores_gemma":[0.0008457347,0.0000796702,0.00002779594,0.0001398488,0.0001618243,0.000008131252,0.00003593717,0.0001038774,5.328755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004133164,"about_ca_system_score_gemma":0.0001830356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022512,"about_ca_topic_score_gemma":0.002725503,"domain_scores_codex":[0.9990966,0.00006763412,0.000220147,0.000271906,0.0001185746,0.0002251874],"domain_scores_gemma":[0.9996102,0.00007471404,0.00003899953,0.0001468699,0.00002375025,0.0001053983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003173131,0.0003276213,0.2711631,0.0001233234,0.00003208828,0.0004641806,0.0001463431,0.001093487,0.719361,0.00003606928,0.001575699,0.002503881],"study_design_scores_gemma":[0.02987486,0.002281448,0.3218715,0.004608781,0.0000628591,0.0003824636,0.0005035435,0.02151549,0.6092213,0.006390786,0.002037891,0.001249147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980549,0.0007692908,0.0002790508,0.0005732216,0.00005020604,0.0001410899,0.00000844257,0.000004146876,0.0001196492],"genre_scores_gemma":[0.9984812,0.000372414,0.0005897588,0.0003647329,0.0000882403,0.00002044003,0.00004137827,0.000008504157,0.00003332933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1101398,"threshold_uncertainty_score":0.3403156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323396842127351,"score_gpt":0.3652918045893132,"score_spread":0.3220578361680396,"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."}}