{"id":"W1986363048","doi":"10.4028/www.scientific.net/kem.396-398.569","title":"Visualization of Invasion into the Body and Internal Diffusion of Nanoparticles","year":2008,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Nanoparticle; Materials science; Visualization; Microscopy; Nanotechnology; Biomedical engineering; Diffusion; Microscope; Computer science; Pathology; Artificial intelligence; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002783657,0.00007742585,0.0001643775,0.00003806671,0.0000627039,0.00001809167,0.0001215666,0.00002850326,0.00009145227],"category_scores_gemma":[0.00008056946,0.00005376528,0.00001717501,0.00008438792,0.0000806718,0.00008272882,0.00008076674,0.0000132,0.000007537038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007831134,"about_ca_system_score_gemma":0.000008987052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001155994,"about_ca_topic_score_gemma":0.000001251351,"domain_scores_codex":[0.9993025,0.00002959752,0.0003223016,0.000115106,0.0001304147,0.0001000843],"domain_scores_gemma":[0.9995899,0.00005529126,0.0001162088,0.0001691609,0.00003987683,0.00002954619],"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":[0.0000099114,0.00003288029,0.0004360521,0.0000482344,0.000002780137,3.365163e-7,0.0008824261,0.00009129759,0.9958867,0.002524585,0.00001774017,0.00006705635],"study_design_scores_gemma":[0.0001105558,0.00002974169,0.0170815,0.00006746926,0.000009191957,0.000005713503,0.00002825053,0.0003392396,0.9821001,0.00008882475,0.00008322039,0.00005617884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987146,0.0000877761,0.0008798069,0.00004410981,0.0001104453,0.0001163925,0.000006026967,0.00003037323,0.00001042569],"genre_scores_gemma":[0.9989256,0.00008733491,0.0009051944,0.000006518208,0.000032838,0.00001939317,0.000001785794,0.00001079595,0.00001048476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664545,"threshold_uncertainty_score":0.2192485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116480798354169,"score_gpt":0.2259594706804656,"score_spread":0.2143113908450487,"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."}}