{"id":"W1974504491","doi":"10.1117/12.906874","title":"Non-contact photoacoustic tomography and ultrasonography for biomedical imaging","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Transducer; Laser; Interferometry; Ultrasonic sensor; Biomedical engineering; Ultrasound; Photoacoustic effect; Photoacoustic imaging in biomedicine; Photoacoustic Doppler effect; Optics; Photoacoustic spectroscopy; Optical tomography; Sensitivity (control systems); Tomography; Acoustics; Electronic engineering; Medicine","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":[0.0006742429,0.0005319428,0.0005275244,0.0006893901,0.0001974733,0.0007824734,0.0006850133,0.001331701,0.004792312],"category_scores_gemma":[0.001390031,0.0003565153,0.0003843265,0.001036239,0.001053557,0.001375058,0.0008760702,0.00101242,0.001292375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257066,"about_ca_system_score_gemma":0.0004005265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000344624,"about_ca_topic_score_gemma":0.0006150983,"domain_scores_codex":[0.9990579,0.0002664471,0.00003239268,0.0001847343,0.0004180094,0.00004043701],"domain_scores_gemma":[0.9989497,0.0006163736,0.0001398388,0.0001206798,0.0001337896,0.0000397294],"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":[0.0002367638,0.0001047894,0.0015717,0.002091849,0.00007151062,0.0008988987,0.0002883122,0.00491244,0.6812941,0.05590567,0.004142757,0.2484812],"study_design_scores_gemma":[0.00009554566,0.001122978,0.009923966,0.0005208988,0.0001511231,0.01178788,0.0004649014,0.1229614,0.5844831,0.05403926,0.214138,0.0003109245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03505216,0.07685034,0.8602517,0.001523193,0.0006211663,0.0002252521,0.0001657811,0.0007852102,0.02452528],"genre_scores_gemma":[0.3287406,0.04477003,0.5999648,0.001181595,0.0008289526,0.0004574084,0.0002785203,0.000155101,0.02362308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004792312,"threshold_uncertainty_score":0.01603186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006247346066154193,"score_gpt":0.2104111584164084,"score_spread":0.2041638123502542,"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."}}