{"id":"W2494772945","doi":"10.1038/srep29836","title":"Quantitative Comparison of Photothermal Heat Generation between Gold Nanospheres and Nanorods","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université de Reims Champagne-Ardenne; University of Minnesota; Princeton University; McKnight Foundation; Centre de Calcul de Régional ROMEO; National Science Foundation","keywords":"Photothermal therapy; Nanorod; Materials science; Heat generation; Colloidal gold; Plasmon; Nanotechnology; Nanoparticle; Dispersity; Plasmonic nanoparticles; Nanostructure; Optoelectronics; Thermodynamics","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":[0.0006300459,0.0004029864,0.0001937764,0.0004707663,0.000138065,0.0002284738,0.0002924786,0.0003329707,0.0006636793],"category_scores_gemma":[0.0007607405,0.0001650865,0.0002324932,0.0002457659,0.0004138042,0.0003429211,0.0002462068,0.000306627,0.0001338086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004507407,"about_ca_system_score_gemma":0.0001485246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004232008,"about_ca_topic_score_gemma":0.0005469003,"domain_scores_codex":[0.999534,0.00008268223,0.00003343833,0.0001116197,0.0001996239,0.00003869101],"domain_scores_gemma":[0.9993333,0.0003828481,0.0000799619,0.00006982253,0.0001071568,0.00002689068],"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":[0.00007279182,0.00001735461,0.0003443959,0.00006521402,0.00001178323,0.00001718499,0.00003776026,0.0008151823,0.9959252,0.0001122937,0.00002459503,0.00255636],"study_design_scores_gemma":[0.000004168515,0.00007596711,0.001318102,0.000001739715,0.000005295987,0.00001696749,0.00001412277,0.003936074,0.9944028,0.0000426341,0.0001778748,0.000004253128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836283,0.0008162071,0.01382184,0.00003012666,0.0000268175,0.00004822691,0.0002161194,0.000162019,0.00125032],"genre_scores_gemma":[0.9849682,0.0003692452,0.01343998,0.00002233746,0.000007780737,0.00006568802,0.0001613213,0.00003083037,0.0009345945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006636793,"threshold_uncertainty_score":0.003332078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04951685343573412,"score_gpt":0.3024724076942985,"score_spread":0.2529555542585644,"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."}}