{"id":"W3193811394","doi":"10.1364/oe.434004","title":"Functional photoacoustic remote sensing microscopy using a stabilized temperature-regulated stimulated Raman scattering light source","year":2021,"lang":"en","type":"article","venue":"Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Illumisonics (Canada); University of Waterloo","funders":"Centre for Bioengineering and Biotechnology, University of Waterloo; Mitacs; University of Waterloo; illumiSonics; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Raman scattering; Optics; Microscopy; Raman spectroscopy; Pulse (music); Scattering; Photoacoustic spectroscopy; Laser; Optoelectronics; 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":[0.0001485974,0.0004182053,0.000431529,0.0001309614,0.0002815217,0.0002985075,0.000145146,0.0002158843,0.0001157614],"category_scores_gemma":[0.0001060051,0.000474457,0.0001286776,0.000436306,0.0000757997,0.000183377,0.00009562392,0.0005055063,0.00001459148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362361,"about_ca_system_score_gemma":0.0001097822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002892379,"about_ca_topic_score_gemma":0.000002506173,"domain_scores_codex":[0.997968,0.00006014405,0.000461159,0.0004911078,0.0003292405,0.0006903065],"domain_scores_gemma":[0.9988071,0.0001455614,0.0000679786,0.0005416803,0.0002490807,0.0001885516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001973615,0.00001290821,0.00000427211,0.0001124652,0.00007502441,0.00006967502,0.0002351118,0.3759054,0.6231285,0.000001332802,0.0001509188,0.000284689],"study_design_scores_gemma":[0.0006402071,0.00000479865,0.00001902761,0.0002765399,0.00008606971,0.0001735389,0.0001616037,0.5711749,0.4268723,0.00002223436,0.0002412876,0.00032759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.708449,0.0003974068,0.2892503,0.00003339817,0.000944193,0.0001674107,0.00002335149,0.0004792933,0.0002556261],"genre_scores_gemma":[0.9359377,0.00002628551,0.06301919,0.0001067333,0.0002177976,0.00000108827,0.00007325289,0.0001578826,0.0004600846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2274887,"threshold_uncertainty_score":0.9997707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076380094139553,"score_gpt":0.2237952737004456,"score_spread":0.21303147275905,"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."}}