{"id":"W2065028663","doi":"10.1063/1.4915146","title":"A prototype hand-held tri-modal instrument for <i>in vivo</i> ultrasound, photoacoustic, and fluorescence imaging","year":2015,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Modality (human–computer interaction); Imaging phantom; Photoacoustic imaging in biomedicine; Ultrasound; Computer science; Medical imaging; Biomedical engineering; Preclinical imaging; Ultrasound imaging; Molecular imaging; Transducer; Medical physics; Fluorescence-lifetime imaging microscopy; Computer vision; Materials science; Artificial intelligence; Optics; In vivo; Radiology; Acoustics; Medicine; Fluorescence; 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":[0.001294024,0.0002535137,0.0004580231,0.0001767702,0.0001124819,0.0001325383,0.0002739219,0.00004267432,0.00003354025],"category_scores_gemma":[0.0002874605,0.0002370175,0.00008124176,0.0004575973,0.0002811048,0.0003382446,0.00005125798,0.0001468104,0.000006913141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689244,"about_ca_system_score_gemma":0.0001503767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002727172,"about_ca_topic_score_gemma":0.000004523201,"domain_scores_codex":[0.9979926,0.00003144442,0.0006173429,0.0004107302,0.0004465622,0.0005012595],"domain_scores_gemma":[0.9991522,0.00006764881,0.0001150246,0.0003298032,0.0001478083,0.0001874738],"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":[0.0001943184,0.0004468747,0.01410879,0.04432948,0.0001484024,0.0000236301,0.001503799,0.0001776992,0.5990332,0.0005248127,0.01469932,0.3248096],"study_design_scores_gemma":[0.01221911,0.000393585,0.001398755,0.0550479,0.0005140388,0.0004842043,0.001395363,0.2914826,0.5565255,0.001405615,0.07662496,0.00250837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706358,0.0145404,0.0027911,0.0001293813,0.002769376,0.005783212,0.0003328171,0.0001574567,0.002860421],"genre_scores_gemma":[0.9921604,0.00252057,0.0047144,0.0001076799,0.00003348124,0.0002933559,0.00002319991,0.0000330404,0.0001138555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3223013,"threshold_uncertainty_score":0.9665294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668285097538202,"score_gpt":0.2471208667677217,"score_spread":0.2304380157923397,"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."}}