{"id":"W1981180419","doi":"10.3791/50536","title":"One Minute, Sub-One-Watt Photothermal Tumor Ablation Using Porphysomes, Intrinsic Multifunctional Nanovesicles","year":2013,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; University at Buffalo; Princess Margaret Hospital Foundation; State University of New York","keywords":"Photothermal therapy; Porphyrin; Ablation; Photosensitizer; Materials science; Tumor ablation; Biophysics; Irradiation; Quenching (fluorescence); Photothermal effect; Liposome; Fluorescence; Conjugated system; Biomedical engineering; Photochemistry; Nanotechnology; Chemistry; Optics; Medicine; Polymer; Biology","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":[0.00008281852,0.000173312,0.0001201015,0.00006641538,0.00006447362,0.0001325305,0.00008162123,0.0001610384,0.0003193208],"category_scores_gemma":[0.00009275921,0.00006457016,0.000114417,0.00005526839,0.0001253864,0.0002257674,0.0001356082,0.0002593971,0.0001005542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001985489,"about_ca_system_score_gemma":0.0001071711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408382,"about_ca_topic_score_gemma":0.0004136054,"domain_scores_codex":[0.9999524,0.000005194449,0.00000247136,0.00001543343,0.00001191748,0.00001253738],"domain_scores_gemma":[0.9999652,0.000007500067,0.00001230024,0.000003671213,0.000005072912,0.000006261797],"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":[0.00002213927,0.000003597427,0.00003207214,0.00001508074,0.000001133428,0.00001448902,0.000008038731,0.00005888026,0.9988944,0.00004947705,0.00001044392,0.0008901294],"study_design_scores_gemma":[0.000002253687,0.00005112316,0.0005322598,0.00000113326,0.000002693267,0.0000486291,0.000004119679,0.0003243689,0.9983204,0.00002168939,0.0006898501,0.000001355348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829437,0.00181299,0.01419732,0.00005985707,0.00001913364,0.00003333321,0.00008431698,0.00008567173,0.000763759],"genre_scores_gemma":[0.9910383,0.0009180787,0.005989161,0.00003053938,0.000007512501,0.00003126465,0.00007143342,0.00001798099,0.001895658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003193208,"threshold_uncertainty_score":0.001440525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033043878087693,"score_gpt":0.3188830019614465,"score_spread":0.2858391238737535,"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."}}