{"id":"W1977568999","doi":"10.1117/1.jbo.18.9.096001","title":"Hyperspectral fluorescence lifetime imaging for optical biopsy","year":2013,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical and Acousto-Optic Technologies","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Hamilton Health Sciences; American Occupational Therapy Foundation","keywords":"Hyperspectral imaging; Photomultiplier; Optics; Fluorescence; Materials science; Fluorescence-lifetime imaging microscopy; Digital micromirror device; SIGNAL (programming language); Optical filter; Wavelength; Biomedical engineering; Optoelectronics; Computer science; Detector; Physics; Artificial intelligence; Medicine","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":[0.0002243646,0.000178532,0.0003548473,0.0001335862,0.00008046195,0.0001084134,0.0004291959,0.00008663072,0.0003361464],"category_scores_gemma":[0.000168659,0.0001249066,0.0002583047,0.0001912998,0.000484146,0.0002361017,0.00009039856,0.0003975706,0.00006339746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003101811,"about_ca_system_score_gemma":0.0001018346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006474927,"about_ca_topic_score_gemma":1.379973e-8,"domain_scores_codex":[0.9984024,0.000009464415,0.0005928198,0.0001616821,0.0003734969,0.0004601289],"domain_scores_gemma":[0.9987503,0.0002349013,0.0002204218,0.0001645788,0.0002997064,0.0003300652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001076538,0.002092216,0.004958684,0.0000857876,0.000457322,0.00009633561,0.0001852003,0.00002445638,0.3403271,0.1859258,0.0247361,0.4410034],"study_design_scores_gemma":[0.02001305,0.007170246,0.01642417,0.001411938,0.001729401,0.001566247,0.01805716,0.195626,0.1559047,0.5314707,0.04597855,0.004647852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194487,0.0002273366,0.2447549,0.03029932,0.00127787,0.0004975817,0.00004219639,0.0001065124,0.00334552],"genre_scores_gemma":[0.7200316,0.000007639201,0.2786854,0.00008119943,0.001022508,0.000008922158,0.000003781237,0.00001756211,0.0001413884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4363556,"threshold_uncertainty_score":0.5093541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00655614941583031,"score_gpt":0.2392700588996937,"score_spread":0.2327139094838634,"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."}}