{"id":"W4255011663","doi":"10.32920/ryerson.14655276","title":"An in vitro of radiation dose enhancement using gold nanorods and plasmonic photothermal therapy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Ionizing radiation; Photothermal therapy; Nanorod; Absorbance; Colloidal gold; Materials science; Radiation; Irradiation; Plasmon; Conjugated system; Nanoparticle; Infrared; Chemistry; Optoelectronics; Nanotechnology; Optics; Polymer; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00029172,0.0003782464,0.0002383873,0.00009941279,0.0001052937,0.0001423386,0.0001716354,0.0003072069,0.0008943046],"category_scores_gemma":[0.0001603732,0.0002123777,0.0003225367,0.0001229412,0.0001349359,0.0001437244,0.0001424825,0.0003345563,0.0001663297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966955,"about_ca_system_score_gemma":0.0001126221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007685833,"about_ca_topic_score_gemma":0.001072888,"domain_scores_codex":[0.9997838,0.00004414204,0.00001893322,0.00004810015,0.00007660703,0.00002839124],"domain_scores_gemma":[0.999851,0.00006879093,0.00002494257,0.00001911487,0.0000251522,0.00001104016],"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":[0.00005087554,0.00003322607,0.00007882065,0.00005664032,0.000004441332,0.0000205536,0.00002343423,0.0001143725,0.9987288,0.00002868911,0.00001691588,0.000843232],"study_design_scores_gemma":[0.000004447585,0.0003708048,0.0005695624,0.00000262601,0.000006196882,0.00002795615,0.000005999565,0.0003193074,0.9983643,0.000009116214,0.0003179573,0.000001735515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849005,0.003840227,0.007554911,0.00007718916,0.00008536601,0.0000834434,0.0001692952,0.00008867801,0.003200487],"genre_scores_gemma":[0.9806567,0.00200825,0.01208931,0.00005607165,0.0000148943,0.00008489061,0.0002100381,0.00002073263,0.004859101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008943046,"threshold_uncertainty_score":0.002991736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575741873828739,"score_gpt":0.3175606321109924,"score_spread":0.291803213372705,"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."}}