{"id":"W4324295543","doi":"10.1117/12.2649196","title":"Simultaneous 2-photon and 3-photon multimodal signal acquisition for multiphoton microscopy","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Two-photon excitation microscopy; Microscopy; Photonics; Photon; Second-harmonic generation; Optics; SIGNAL (programming language); High harmonic generation; Excitation; Physics; Fluorescence microscope; Materials science; Fluorescence; Optoelectronics; Laser; Computer science","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":[0.0006216949,0.0006977916,0.000499605,0.0006334607,0.0004000089,0.000551541,0.001112173,0.0007647098,0.001759405],"category_scores_gemma":[0.0005105016,0.0005816544,0.0004522993,0.0003603531,0.0003784695,0.001129591,0.001399866,0.001292523,0.0006252078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344328,"about_ca_system_score_gemma":0.0003607575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002751999,"about_ca_topic_score_gemma":0.000753055,"domain_scores_codex":[0.999442,0.00008247806,0.00002423579,0.0001357661,0.0002603102,0.00005524213],"domain_scores_gemma":[0.9995337,0.0001626105,0.00006431907,0.0000950266,0.00009974604,0.00004470216],"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":[0.00005548941,0.00001933457,0.0001515685,0.00009014761,0.00001272371,0.00007068186,0.00003676938,0.0003900861,0.9840778,0.0008281827,0.0001913342,0.01407602],"study_design_scores_gemma":[0.00001681226,0.00009944243,0.0009418716,0.00001066456,0.00001681277,0.0007026857,0.00001410433,0.01718087,0.9754333,0.0007406271,0.004793971,0.00004859683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1523558,0.001549414,0.8422932,0.0002299248,0.00008577385,0.0001866023,0.0003400095,0.0009348446,0.002024333],"genre_scores_gemma":[0.3128034,0.0007657499,0.6832708,0.00015031,0.0000630846,0.0004345662,0.00035945,0.0001854692,0.001967123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001759405,"threshold_uncertainty_score":0.005885839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007587082787692275,"score_gpt":0.296425265969486,"score_spread":0.2888381831817937,"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."}}