{"id":"W3215307146","doi":"10.1016/j.pdpdt.2021.102636","title":"Fluorescence imaging analysis of distribution of indocyanine green in molecular and nanoform in tumor model","year":2021,"lang":"en","type":"article","venue":"Photodiagnosis and Photodynamic Therapy","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Russian Foundation for Basic Research; Providence Health Care","keywords":"Indocyanine green; Fluorescence; Distribution (mathematics); Fluorescence-lifetime imaging microscopy; Chemistry; Pathology; Optics; Medicine; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478851,0.00029046,0.00009548546,0.0001748007,0.0001137693,0.0001150981,0.0001694718,0.0002766581,0.0008983291],"category_scores_gemma":[0.00006452055,0.0001049601,0.0001601259,0.0001420236,0.0001581124,0.0002635032,0.0001089455,0.0002897382,0.0001338672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907241,"about_ca_system_score_gemma":0.0002339812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058865,"about_ca_topic_score_gemma":0.001464508,"domain_scores_codex":[0.9999442,0.000003620585,0.000002988306,0.00001644981,0.00001352676,0.00001929078],"domain_scores_gemma":[0.999954,0.00001030011,0.00001291558,0.000003500785,0.00001056477,0.000008674292],"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":[0.00002990086,0.00001235952,0.00006560602,0.0000167799,0.00000113362,0.00002042104,0.00001224074,0.0001268945,0.9990368,0.0001032853,0.00002610585,0.0005484132],"study_design_scores_gemma":[0.000004570079,0.0000613771,0.0007820239,0.000001446474,0.000004490837,0.00003805761,0.000007663425,0.002754616,0.9959887,0.00002226761,0.0003320997,0.000002721478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836273,0.0004136764,0.01348408,0.00009022569,0.00002063435,0.00003773043,0.0002532982,0.0001605097,0.00191252],"genre_scores_gemma":[0.9817886,0.0005027492,0.01217282,0.00005848872,0.000006337799,0.00008655712,0.0003178956,0.0000326127,0.005033931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002058865,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005778270972889136,"score_gpt":0.2164426630461024,"score_spread":0.2106643920732133,"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."}}