{"id":"W1981285724","doi":"10.1364/ol.35.001737","title":"Rapid spectrally encoded fluorescence imaging using a wavelength-swept source","year":2010,"lang":"en","type":"article","venue":"Optics Letters","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Optics; Fluorescence; Fluorescence-lifetime imaging microscopy; Wavelength; Spectral imaging; Materials science; Confocal; Pixel; Resolution (logic); Physics; Computer science","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":[0.0003098524,0.0003929028,0.0003268369,0.0002671767,0.000186802,0.0004305132,0.0005420573,0.000538444,0.00107696],"category_scores_gemma":[0.0004950442,0.0003050225,0.0001997943,0.0001823131,0.0005030216,0.0007415172,0.0006239804,0.0007835224,0.0004148916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251079,"about_ca_system_score_gemma":0.0002517699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003596209,"about_ca_topic_score_gemma":0.0005473493,"domain_scores_codex":[0.9998227,0.00002268424,0.00001080795,0.00005064853,0.00006579471,0.00002738523],"domain_scores_gemma":[0.9996829,0.0001376791,0.00005360963,0.0000423811,0.00005431988,0.00002910724],"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":[0.00001999794,0.000006297723,0.00002285135,0.00001517135,0.000001369997,0.00002227171,0.0000124971,0.00009773541,0.9982662,0.000100095,0.00002589289,0.001409569],"study_design_scores_gemma":[0.000006293486,0.00005450022,0.0001836697,0.000001961279,0.000002055405,0.0001150213,0.000006694451,0.0019033,0.9971648,0.00004638263,0.0005093779,0.000005875144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8081198,0.0008905883,0.1858653,0.0003210461,0.00005527234,0.0001373303,0.0002455805,0.00113588,0.00322929],"genre_scores_gemma":[0.7290361,0.001398347,0.2646497,0.0001727002,0.00003419902,0.0001866148,0.0003270043,0.0001807204,0.004014511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107696,"threshold_uncertainty_score":0.003602803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005985991994460051,"score_gpt":0.1917948787049082,"score_spread":0.1858088867104481,"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."}}