{"id":"W2072965277","doi":"10.1007/s11434-014-0381-8","title":"Serial time-encoded amplified microscopy for ultrafast imaging based on multi-wavelength laser","year":2014,"lang":"en","type":"article","venue":"Chinese Science Bulletin","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Natural Science Foundation of China","keywords":"Ultrashort pulse; Laser; Optics; Wavelength; Materials science; Photonics; Optoelectronics; Frame rate; SIGNAL (programming language); Dispersion (optics); Microscopy; Chip; Physics; Computer science; Telecommunications","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":[0.0003408057,0.0006211406,0.0003160531,0.0004859209,0.0004414172,0.0004127023,0.001117668,0.0004082884,0.00154519],"category_scores_gemma":[0.0002706778,0.0004678636,0.0003311615,0.000491101,0.0004873881,0.00100598,0.0007175769,0.0009380106,0.0003894412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931352,"about_ca_system_score_gemma":0.0005848831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055356,"about_ca_topic_score_gemma":0.002447981,"domain_scores_codex":[0.9997633,0.00002035204,0.00001231968,0.00006403001,0.0001153967,0.0000246965],"domain_scores_gemma":[0.9997981,0.00005587388,0.00004311341,0.00003283234,0.0000481992,0.00002193512],"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":[0.00004559287,0.00002402104,0.0001721123,0.00008381649,0.000007424329,0.00006245147,0.00005832997,0.0003731427,0.9880641,0.001880293,0.0002287562,0.008999883],"study_design_scores_gemma":[0.0000215648,0.0001170029,0.0008174723,0.00000756528,0.0000254448,0.000299476,0.00002074313,0.02697674,0.9658372,0.0005211708,0.005321141,0.0000345239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5226174,0.004336765,0.4571963,0.0006049717,0.0002945584,0.0001699716,0.000291428,0.001752735,0.01273599],"genre_scores_gemma":[0.7618167,0.002536006,0.2255359,0.0001216885,0.00009335529,0.0001706132,0.0002798643,0.0001433004,0.009302734],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00154519,"threshold_uncertainty_score":0.00575459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005499954886650515,"score_gpt":0.2800496620714461,"score_spread":0.2745497071847956,"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."}}