{"id":"W2136337147","doi":"10.1002/adfm.201402631","title":"Laser‐Activatible PLGA Microparticles for Image‐Guided Cancer Therapy In Vivo","year":2014,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Ministry of Research and Innovation; China Medical University; Chongqing Medical University; Chongqing University","keywords":"PLGA; Materials science; In vivo; Biomedical engineering; Vaporization; Nanoparticle; Nanomedicine; Particle (ecology); Cancer cell; Laser; Biophysics; Nanotechnology; Lymph; Cancer; Pathology; Optics; Chemistry; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00008320744,0.0001162575,0.00015326,0.00004354146,0.00005840998,0.00003315577,0.00006154296,0.00004088442,0.0006902602],"category_scores_gemma":[0.00001952864,0.0001083051,0.00002812766,0.00008608264,0.00002119203,0.0001598321,0.000005335815,0.00003090965,0.00002836094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004278698,"about_ca_system_score_gemma":0.00001142244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002690524,"about_ca_topic_score_gemma":0.00002349681,"domain_scores_codex":[0.9993902,0.00001349793,0.000196186,0.0001503509,0.0000612857,0.0001884553],"domain_scores_gemma":[0.9996514,0.0001189767,0.00002913394,0.0001233655,0.00004468075,0.00003240304],"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":[0.00003793397,0.00002346858,0.00009256912,0.00001815369,0.00001428731,7.414834e-8,0.00002361703,0.007086932,0.9880949,0.0006487606,0.001055288,0.002904007],"study_design_scores_gemma":[0.0008471148,0.00002370918,0.00198774,0.00001389816,0.000004080038,0.000001637178,0.00001264899,0.0004061578,0.9607436,0.00236076,0.03345956,0.0001390691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888826,0.00007233017,0.009454261,0.0001433363,0.0004323549,0.0003111603,0.0001129526,0.0001472271,0.0004437552],"genre_scores_gemma":[0.994086,0.0001374077,0.004107634,0.0001965323,0.000255879,0.0009325095,0.0000279638,0.00003796074,0.0002181219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03240427,"threshold_uncertainty_score":0.7557865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669391438644091,"score_gpt":0.2480824012301961,"score_spread":0.2313884868437552,"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."}}