{"id":"W2154320814","doi":"10.1088/0957-4484/26/28/284001","title":"Towards instantaneous cellular level bio diagnosis: laser extraction and imaging of biological entities with conserved integrity and activity","year":2015,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Research Council","keywords":"Materials science; Laser; Picosecond; Biological system; Extraction (chemistry); Laser ablation; Biophysics; Mass spectrometry; Biological specimen; Nanotechnology; Optics; Chemistry; Biology; Chromatography","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":[0.0001361971,0.0001499906,0.0002010987,0.0000736338,0.0000410662,0.00001029933,0.0001057708,0.0003341692,0.000002122905],"category_scores_gemma":[0.0001784617,0.0001220123,0.00001917876,0.00007617244,0.0007214514,0.00001124317,0.0001741557,0.0002342676,3.053365e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002202641,"about_ca_system_score_gemma":0.00007924401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001571351,"about_ca_topic_score_gemma":0.0001281766,"domain_scores_codex":[0.9992539,0.00004727,0.0001304518,0.0003281649,0.00006368502,0.000176566],"domain_scores_gemma":[0.9995218,0.00001592323,0.0001021067,0.0002122255,0.0001017347,0.00004623851],"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":[0.0002138021,0.00005828425,0.03455131,0.00001528397,0.00001500681,0.00002208122,0.00002126842,6.68542e-7,0.9530098,0.0001446979,0.00004425759,0.01190355],"study_design_scores_gemma":[0.0003694972,0.0005868624,0.0009457512,0.00002661632,0.00001167165,0.0001638966,0.000210723,0.0000248227,0.995261,0.0007005148,0.001552339,0.0001462891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531742,0.001244803,0.04494576,0.0003187773,0.0000333515,0.0001617939,0.0000324666,0.00006492836,0.00002396189],"genre_scores_gemma":[0.9800808,0.0008530759,0.01894181,0.00003976173,0.00001253971,0.0000349896,0.00001228552,0.00001179407,0.00001298842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04225123,"threshold_uncertainty_score":0.4975519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451798162308505,"score_gpt":0.2892691646014225,"score_spread":0.2547511829783375,"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."}}