{"id":"W2099244362","doi":"10.1109/ultsym.2015.0398","title":"Low power continuous wave photoacoustic microscope for bioimaging applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Laser; Microphone; Microscope; Optics; Methemoglobin; Chopper; Continuous wave; Photoacoustic effect; Photoacoustic imaging in biomedicine; SIGNAL (programming language); Optoelectronics; Acoustics; Computer science; Physics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000460546,0.0004741654,0.0002470032,0.0004601061,0.0003357804,0.0004687577,0.0007380367,0.0009444354,0.007370282],"category_scores_gemma":[0.0005750341,0.000322113,0.0001840866,0.0002931615,0.0003379139,0.0008762777,0.0004657624,0.001031197,0.002650271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511971,"about_ca_system_score_gemma":0.0003830774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002625721,"about_ca_topic_score_gemma":0.0006211133,"domain_scores_codex":[0.9996436,0.00004751927,0.00001713577,0.00008248667,0.0001869973,0.00002231959],"domain_scores_gemma":[0.9994986,0.0001936147,0.00005361606,0.00005647182,0.0001539278,0.00004369743],"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":[0.00001858634,0.00001344937,0.0000562873,0.0000860783,0.000002269638,0.00003637489,0.00001312046,0.00003843439,0.989426,0.0004682061,0.0004005337,0.009440655],"study_design_scores_gemma":[0.00002665607,0.0003509063,0.001729974,0.00003398567,0.0000246785,0.001360718,0.00003867086,0.01004117,0.9603984,0.0007120828,0.0252532,0.0000293671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179323,0.005599052,0.8566367,0.001161173,0.0004543187,0.0002938243,0.0003300498,0.003208386,0.01438418],"genre_scores_gemma":[0.3029585,0.002966169,0.6713014,0.0005293595,0.0001669347,0.000507343,0.0002644419,0.0001732514,0.02113262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007370282,"threshold_uncertainty_score":0.02465606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415345672378919,"score_gpt":0.2263963974547554,"score_spread":0.2122429407309662,"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."}}