{"id":"W2995728382","doi":"10.1364/boe.381473","title":"Miniaturized multimodal multiphoton microscope for simultaneous two-photon and three-photon imaging with a dual-wavelength Er-doped fiber laser","year":2019,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Materials science; Two-photon excitation microscopy; Microscopy; Optics; Laser; Femtosecond; Second-harmonic generation; Microscope; Fiber laser; Optical fiber; Optoelectronics; Multi-mode optical fiber; Wavelength; Fluorescence; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002055635,0.0004555262,0.0004356512,0.00009024372,0.0001189503,0.00007827286,0.0002953601,0.0002998361,0.00004087383],"category_scores_gemma":[0.0001856936,0.000380661,0.0001035268,0.0001144187,0.0004840274,0.00001907416,0.0002805273,0.0002417325,0.00001415359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928663,"about_ca_system_score_gemma":0.0001062693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004692273,"about_ca_topic_score_gemma":0.00001648951,"domain_scores_codex":[0.9976426,0.00004136819,0.0003999481,0.0009482561,0.0002952967,0.0006725175],"domain_scores_gemma":[0.9985548,0.0001633934,0.0001806041,0.0006175594,0.0001973019,0.0002863077],"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":[0.001251653,0.0001920529,0.0003966512,0.0001139738,0.00005735265,0.00003427705,0.0000734503,0.00001987081,0.9949854,0.000005131298,0.0003321693,0.002538018],"study_design_scores_gemma":[0.004876956,0.0006882944,0.00004448259,0.0001564807,0.00004774255,0.00006011518,0.00005533973,0.01528258,0.944613,0.00003135276,0.03354826,0.0005954111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811122,0.0002497092,0.01593267,0.00008319752,0.0001805764,0.001922615,0.0003159167,0.00009274235,0.0001104066],"genre_scores_gemma":[0.5973418,0.0000891398,0.400675,0.0002859512,0.000155191,0.0002012944,0.0003954097,0.0001103993,0.000745763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3847423,"threshold_uncertainty_score":0.9998645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005568452664319517,"score_gpt":0.2630480615864656,"score_spread":0.2574796089221461,"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."}}