{"id":"W2106424069","doi":"10.1117/1.2400239","title":"Cell membrane and gold nanoparticles effects on optical immersion experiments with noncancerous and cancerous cells: finite-difference time-domain modeling","year":2006,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lumerical Solutions (Canada); Carleton University","funders":"Western Canada Research Grid","keywords":"Finite-difference time-domain method; Cytoplasm; Colloidal gold; Nanoparticle; Materials science; Cell membrane; Nucleus; Membrane; Nanotechnology; Biophysics; Immersion (mathematics); Optics; Chemistry; Physics; Biology; Cell biology","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":[0.0001243957,0.0002172023,0.0003747147,0.00009581782,0.00004601519,0.00006233624,0.0001207166,0.0001525975,0.000007978816],"category_scores_gemma":[0.00001845787,0.0001635047,0.00003693856,0.0001287538,0.0001339792,0.00008128721,0.00004086417,0.0003829612,0.00000604615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025643,"about_ca_system_score_gemma":0.00003515221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001357262,"about_ca_topic_score_gemma":0.00000135365,"domain_scores_codex":[0.9986566,0.00002658518,0.0004016231,0.0001689125,0.0004027847,0.0003434544],"domain_scores_gemma":[0.9991282,0.000329247,0.00007359149,0.0001150544,0.00004740724,0.0003064708],"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":[0.0001906145,0.000133884,0.00002586178,0.0001745403,0.0000331314,0.0001852781,0.0001109189,0.007675805,0.9881082,0.00003434523,0.0002867412,0.003040655],"study_design_scores_gemma":[0.002462184,0.001635608,0.00003249567,0.000462227,0.00007988016,0.00008705904,0.0000819349,0.2365163,0.7580492,0.00011579,0.0001738926,0.0003033892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861001,0.001356989,0.011716,0.0001593823,0.0002505964,0.0001100251,0.000003345306,0.00002585654,0.0002777061],"genre_scores_gemma":[0.9696324,0.0004310356,0.02954856,0.000082247,0.0002278333,0.000002900809,0.000001193331,0.00003318185,0.00004068093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.230059,"threshold_uncertainty_score":0.6667527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004542193707595341,"score_gpt":0.2022686645271167,"score_spread":0.1977264708195213,"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."}}