{"id":"W3110232105","doi":"10.1364/boe.413086","title":"Single-wavelength water muted photoacoustic system for detecting physiological concentrations of endogenous molecules","year":2020,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photoacoustic spectroscopy; Photoacoustic imaging in biomedicine; Wavelength; Biomolecule; Materials science; Laser; Optics; SIGNAL (programming language); Photoacoustic effect; Optoelectronics; Nanotechnology; Computer science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009188546,0.0001909835,0.0003424181,0.00003678074,0.000081739,0.00002496275,0.0002082382,0.0001287996,0.000016071],"category_scores_gemma":[0.0002186527,0.0001476889,0.0001000895,0.0001119801,0.0001506181,0.00004626785,0.00004325771,0.0001570821,0.000004735718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005940127,"about_ca_system_score_gemma":0.00002474694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003166919,"about_ca_topic_score_gemma":7.204179e-8,"domain_scores_codex":[0.9986454,0.00002415454,0.000427011,0.0002286609,0.0002234557,0.0004513348],"domain_scores_gemma":[0.9992834,0.00021742,0.00004706192,0.000142796,0.00007831553,0.0002309637],"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":[0.00001782,0.00004919473,9.176585e-7,0.0005701996,0.00006163911,0.0000173216,0.0006529257,0.004799449,0.9930853,0.00007621232,0.00008856699,0.0005804914],"study_design_scores_gemma":[0.0004494957,0.00009753862,0.000001422318,0.00005777116,0.00005265268,0.0000138542,0.0004671616,0.4901795,0.5083066,0.000009904476,0.0002318297,0.0001323032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.300004,0.00012259,0.6979599,0.00005267353,0.0004004054,0.0004565305,0.000225638,0.0004302386,0.0003480286],"genre_scores_gemma":[0.9873345,0.000008871804,0.01220146,0.0000602344,0.0002333254,0.00005410301,0.0000692976,0.00003633908,0.00000182639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6873305,"threshold_uncertainty_score":0.6022579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588417288597195,"score_gpt":0.2161748493473227,"score_spread":0.1802906764613508,"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."}}