{"id":"W29769172","doi":"10.2196/medinform.9455","title":"Isotropic and anisotropic metallic and bimetallic nanoparticles and their potential applications in biology","year":2010,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; Western Michigan University; National Human Genome Research Institute; U.S. National Library of Medicine; National Institute of General Medical Sciences","keywords":"Bimetallic strip; Isotropy; Anisotropy; Nanoparticle; Nanotechnology; Materials science; Metal; Physics; Metallurgy; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003219156,0.000202,0.0002223822,0.0004028453,0.000335082,0.0008406362,0.0003481129,0.0004648959,0.001546567],"category_scores_gemma":[0.00078607,0.0001975077,0.0002950122,0.0002694355,0.0005889777,0.0008534949,0.0004868207,0.0003278661,0.0003374731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004493711,"about_ca_system_score_gemma":0.0003326709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671348,"about_ca_topic_score_gemma":0.002125866,"domain_scores_codex":[0.9997366,0.00007483403,0.000009822795,0.00006856863,0.00008283326,0.00002737726],"domain_scores_gemma":[0.9997484,0.00006859168,0.00004083355,0.00008709893,0.000035964,0.00001900494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000141938,0.0001714155,0.005692809,0.000171519,0.00007960666,0.0005784495,0.0004892022,0.2618249,0.1358349,0.5194392,0.005571769,0.07000438],"study_design_scores_gemma":[0.00002256812,0.00008767792,0.002362408,0.00001877788,0.00002862369,0.0004643201,0.0003418944,0.8050247,0.02623662,0.1487449,0.01661891,0.00004862284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3728904,0.00109758,0.5345833,0.002255874,0.0002104436,0.00009383318,0.0003205927,0.0008909915,0.08765691],"genre_scores_gemma":[0.9413643,0.000279972,0.05150946,0.0001860234,0.0000347525,0.00004890528,0.0001203073,0.00007580148,0.006380425],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001671348,"threshold_uncertainty_score":0.005173743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005385028531134839,"score_gpt":0.2757089186928686,"score_spread":0.2703238901617338,"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."}}