{"id":"W4385922954","doi":"10.1021/acs.analchem.3c00217","title":"<b>Fluorescence Excitation-Emission-Matrix Imaging</b>","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Chemistry; Fluorescence; Excitation; Hadamard transform; Wavelength; Pixel; Ternary operation; Optics; Matrix (chemical analysis); Multiplexing; Excitation wavelength; Physics; Telecommunications","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":[0.0001564719,0.0003240062,0.0001614008,0.0006137719,0.0003089834,0.0005199869,0.0005487569,0.0007018112,0.008414163],"category_scores_gemma":[0.0002703884,0.0002925737,0.0001647183,0.0003394783,0.0003408543,0.0004473788,0.0002918338,0.000527391,0.00287307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665193,"about_ca_system_score_gemma":0.0002779509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189564,"about_ca_topic_score_gemma":0.001181207,"domain_scores_codex":[0.9998823,0.00002210305,0.000007432658,0.00003154332,0.00003771661,0.00001891377],"domain_scores_gemma":[0.9998958,0.00002438568,0.00001788278,0.00002204676,0.00002613067,0.00001381542],"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":[0.0001043063,0.00002424575,0.0003061405,0.0001082133,0.000007890128,0.000105846,0.00001347796,0.0009314974,0.9604869,0.003092249,0.006966853,0.02785228],"study_design_scores_gemma":[0.00001925642,0.00008517117,0.001569153,0.00001046,0.000006114717,0.0007928711,0.00001238077,0.02291868,0.9355332,0.001377996,0.03763844,0.00003622537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.137081,0.001551733,0.8243256,0.001876798,0.0003916641,0.0002304121,0.004054633,0.01200865,0.01847952],"genre_scores_gemma":[0.1497684,0.0004379058,0.8426785,0.0003733748,0.00005689354,0.0001872199,0.001275186,0.0002132463,0.005009211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008414163,"threshold_uncertainty_score":0.02814811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007912928473055355,"score_gpt":0.3171742792725381,"score_spread":0.3092613507994827,"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."}}