{"id":"W253595888","doi":"10.1109/ultsym.2011.0072","title":"Optoacoustic signal amplitude and frequency spectrum analysis laser heated bovine liver ex vivo","year":2011,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Prince Edward Island","funders":"","keywords":"Laser; Radio frequency; SIGNAL (programming language); Ultrasound; Amplitude; Transducer; Ex vivo; Materials science; Biomedical engineering; Backscatter (email); Optics; In vivo; Nuclear magnetic resonance; Acoustics; Medicine; Physics; Telecommunications; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001067049,0.000215496,0.0002728589,0.0002050583,0.00005814699,0.00004029586,0.0001198078,0.00006575162,0.005900288],"category_scores_gemma":[0.000009574703,0.0001955451,0.00008280752,0.0004319001,0.00005666213,0.000154503,0.00002653579,0.0001591231,0.00005082193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005323948,"about_ca_system_score_gemma":0.00001455147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008891922,"about_ca_topic_score_gemma":0.0001424904,"domain_scores_codex":[0.9989766,0.00001471844,0.0002227356,0.0002525428,0.0001352983,0.0003981459],"domain_scores_gemma":[0.9995232,0.000054464,0.00002041234,0.0002219382,0.00002480373,0.0001551804],"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":[0.000312062,0.001226946,0.2099701,0.001313884,0.01881183,0.002092659,0.01315679,0.07884998,0.6410763,0.006775019,0.0187268,0.007687618],"study_design_scores_gemma":[0.0009976599,0.0001446502,0.06692367,0.0000450207,0.002572827,0.00009141853,0.000451791,0.8550329,0.07098555,0.001340119,0.0001832749,0.00123109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4402981,0.0004995069,0.5076138,0.00002072427,0.0001237554,0.0001631346,0.00003904255,0.0006394287,0.05060242],"genre_scores_gemma":[0.9931566,0.00008701743,0.006051109,0.00007847744,0.00004805305,0.000006589812,0.000009330827,0.00003034022,0.0005324509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7761829,"threshold_uncertainty_score":0.9950085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142830573488144,"score_gpt":0.1883709573160461,"score_spread":0.1769426515811647,"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."}}