{"id":"W4408721672","doi":"10.1117/12.3047718","title":"HYPUS: hyperspectral ultrafast source","year":2025,"lang":"en","type":"article","venue":"","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Genia Photonics (Canada)","funders":"","keywords":"Hyperspectral imaging; Ultrashort pulse; Computer science; Artificial intelligence; Optics; Physics; Laser","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002396382,0.0003593743,0.000253366,0.0004883352,0.0004671143,0.0004257385,0.0009688524,0.0004457983,0.008994286],"category_scores_gemma":[0.0002086645,0.0001637073,0.000129483,0.000566987,0.0004051902,0.000758742,0.001036303,0.0005920034,0.001588742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079572,"about_ca_system_score_gemma":0.000326171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007699534,"about_ca_topic_score_gemma":0.001243312,"domain_scores_codex":[0.9996305,0.00003501451,0.000005682773,0.0000819316,0.0001852455,0.00006159178],"domain_scores_gemma":[0.9997678,0.00003882441,0.00004459242,0.00004754395,0.0000473735,0.00005393239],"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":[0.001218034,0.0001888226,0.0032567,0.0003235783,0.00003712135,0.0002566077,0.0001947178,0.001257853,0.9103805,0.006298742,0.01134179,0.06524561],"study_design_scores_gemma":[0.00009622572,0.0005088889,0.0155503,0.00004228022,0.00003005672,0.001153789,0.00008875497,0.01814901,0.9169822,0.001702039,0.04562659,0.00006983939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573304,0.002961933,0.05616667,0.001442398,0.0002378749,0.0002808371,0.009328571,0.01022753,0.06202368],"genre_scores_gemma":[0.9043559,0.000910101,0.07142978,0.0003670445,0.0001568861,0.0002534938,0.004976113,0.0005551269,0.01699563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008994286,"threshold_uncertainty_score":0.03008884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004785426840666508,"score_gpt":0.3064574566774931,"score_spread":0.3016720298368266,"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."}}