{"id":"W1994076084","doi":"10.1155/2008/727418","title":"A New 3D Simulation Method for the Construction of Optical Phase Contrast Images of Gold Nanoparticle Clusters in Biological Cells","year":2008,"lang":"en","type":"article","venue":"Advances in Optical Technologies","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lumerical Solutions (Canada); Carleton University","funders":"Russian Foundation for Basic Research; Western Canada Research Grid","keywords":"Finite-difference time-domain method; Nanoparticle; Materials science; Contrast (vision); Optics; Refractive index; Phase contrast microscopy; Colloidal gold; Phase (matter); Phase difference; Nanotechnology; Cluster (spacecraft); Optoelectronics; Computer science; Physics","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":[0.0003770727,0.0006035863,0.0005527257,0.0004153771,0.000513751,0.0005706626,0.001089843,0.001302907,0.003144894],"category_scores_gemma":[0.0006606429,0.000556069,0.00104761,0.000353798,0.0003990082,0.0004215894,0.0004879955,0.0007616959,0.0006476754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006649912,"about_ca_system_score_gemma":0.001313245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004873747,"about_ca_topic_score_gemma":0.003990339,"domain_scores_codex":[0.9998717,0.00002526162,0.000006594,0.00001468428,0.00007039713,0.00001135666],"domain_scores_gemma":[0.9997355,0.0001314561,0.00001657491,0.00003266717,0.00006297733,0.00002078145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004552645,0.00007031565,0.0005980708,0.0001884712,0.0000649825,0.0002358632,0.0001939113,0.895604,0.05160899,0.01936846,0.001654471,0.03036693],"study_design_scores_gemma":[0.000009682243,0.000007720048,0.00003866918,0.000004949976,0.000004065185,0.0000369262,0.000004143033,0.9944845,0.002401615,0.000680948,0.002319391,0.000007540185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01014263,0.00008309475,0.9864191,0.0000898693,0.00006497733,0.00005952156,0.0001461669,0.0005352075,0.002459374],"genre_scores_gemma":[0.1087005,0.0002803107,0.8861101,0.0001216603,0.00002262492,0.0006677998,0.000328609,0.0003815193,0.003386831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004873747,"threshold_uncertainty_score":0.0105207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626026942720612,"score_gpt":0.3273866508397182,"score_spread":0.3111263814125121,"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."}}