{"id":"W2410348661","doi":"10.7150/thno.13451","title":"Phototheranostic Porphyrin Nanoparticles Enable Visualization and Targeted Treatment of Head and Neck Cancer in Clinically Relevant Models","year":2015,"lang":"en","type":"article","venue":"Theranostics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation","keywords":"Head and neck cancer; Photothermal therapy; Medicine; Radiation therapy; Ablation; Cancer; Fluorescence-lifetime imaging microscopy; Head and neck squamous-cell carcinoma; Head and neck; Lymph node; Radiology; Pathology; Surgery; Fluorescence; Nanotechnology; Internal medicine; Materials science","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":[0.0002057232,0.0002709765,0.0001812746,0.0001562725,0.0001251504,0.0001696594,0.0001740547,0.000307565,0.0007325072],"category_scores_gemma":[0.0001180773,0.000152129,0.0001329554,0.0001026507,0.0002275385,0.0002413237,0.0001918587,0.0004056479,0.0001348942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247221,"about_ca_system_score_gemma":0.0002991747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001764031,"about_ca_topic_score_gemma":0.00341916,"domain_scores_codex":[0.999917,0.00001531597,0.000003652096,0.00002005263,0.00002305815,0.00002083627],"domain_scores_gemma":[0.9999523,0.00001523805,0.0000119268,0.000007762538,0.000005498693,0.000007244547],"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":[0.0000228008,0.00001330567,0.00002239742,0.00002119591,0.000001346407,0.00002211353,0.000009519076,0.0001674902,0.9987127,0.0001135009,0.00004371398,0.0008500292],"study_design_scores_gemma":[0.000005251856,0.0001187169,0.0003595735,0.00000275738,0.000006083585,0.00006954325,0.000007410183,0.001506955,0.9967039,0.00004383571,0.001173271,0.000002745677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534263,0.002709485,0.03930821,0.0003338132,0.00005931915,0.0001592145,0.0003322802,0.0002744921,0.003396833],"genre_scores_gemma":[0.9747217,0.001863086,0.01915217,0.00006850107,0.000007727123,0.0001132091,0.0001587693,0.00003654014,0.00387824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001764031,"threshold_uncertainty_score":0.003507555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645361867537369,"score_gpt":0.2865357807355267,"score_spread":0.250082162060153,"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."}}