{"id":"W2165094789","doi":"10.1117/1.2965545","title":"Intravital high-resolution optical imaging of individual vessel response to photodynamic treatment","year":2008,"lang":"en","type":"letter","venue":"Journal of Biomedical Optics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"In vivo; Intravital microscopy; Pathology; Endothelial stem cell; Preclinical imaging; Blood vessel; Photodynamic therapy; CD31; Optical coherence tomography; Vascular permeability; Flow cytometry; Fluorescence-lifetime imaging microscopy; Chemistry; Biophysics; Biology; Medicine; Fluorescence; Molecular biology; In vitro; Immunohistochemistry; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004626388,0.0004340262,0.0008583649,0.001056074,0.0000566246,0.00005420476,0.0006997354,0.0006808645,0.00004569087],"category_scores_gemma":[0.0002322579,0.0003755559,0.0003776718,0.0007792603,0.000509052,0.0001194437,0.00007976036,0.001673893,0.0000280163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432404,"about_ca_system_score_gemma":0.0002993892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004925172,"about_ca_topic_score_gemma":4.225989e-7,"domain_scores_codex":[0.9963731,0.00009641661,0.001347082,0.0002465798,0.001369438,0.0005674274],"domain_scores_gemma":[0.9978927,0.0006672909,0.0003177178,0.0004029726,0.000270194,0.0004491619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008136612,0.001316348,0.00005058869,0.0004529078,0.00215525,0.004379815,0.0009599272,0.003203162,0.05572078,0.0002442679,0.9006226,0.03008067],"study_design_scores_gemma":[0.009617195,0.01288293,0.01007261,0.002617262,0.004151282,0.006329369,0.0004345071,0.03194165,0.01405124,0.001736153,0.9019772,0.004188539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.611379,0.001293525,0.06389612,0.3167888,0.003115353,0.001354879,0.001387115,0.0002726942,0.0005125829],"genre_scores_gemma":[0.7928625,0.00132103,0.1737152,0.02386242,0.007118728,0.0001048227,0.0005037311,0.0003825868,0.0001289052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2929263,"threshold_uncertainty_score":0.9998696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009866127004560526,"score_gpt":0.2387127352438156,"score_spread":0.2288466082392551,"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."}}