{"id":"W2064296006","doi":"10.1117/1.jbo.19.3.036015","title":"Coregistered photoacoustic and ultrasonic signatures of early bone density variations","year":2014,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Killam Trusts; University of Toronto; Canada Council for the Arts","keywords":"Demineralization; Materials science; Cortical bone; Ultrasonic sensor; Cancellous bone; Bone mineral; Transducer; Ultrasound; Optics; SIGNAL (programming language); Biomedical engineering; Osteoporosis; Acoustics; Anatomy; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004305488,0.0001149676,0.0003268015,0.0001442097,0.00003538107,0.00002302926,0.0001223649,0.0001139231,0.00001625241],"category_scores_gemma":[0.0005064135,0.00009599706,0.00007169768,0.0001581184,0.0001786742,0.00008303952,0.00001664408,0.0003486807,0.000001042814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441687,"about_ca_system_score_gemma":0.00005202429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005108022,"about_ca_topic_score_gemma":7.475584e-7,"domain_scores_codex":[0.9988882,0.00002579097,0.000484009,0.00007230495,0.0003392687,0.0001904302],"domain_scores_gemma":[0.9989643,0.0004108222,0.000184546,0.0001136292,0.0001288656,0.0001978934],"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":[0.0001210333,0.0003620536,0.001288382,0.0006787084,0.0005642381,0.0001349654,0.001449582,0.005125368,0.9644452,0.002558336,0.003186641,0.02008553],"study_design_scores_gemma":[0.004088075,0.001214619,0.04248793,0.0007864533,0.0009103991,0.001354228,0.0003338152,0.9281582,0.01508493,0.003054709,0.00187104,0.0006555853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6529265,0.0003752598,0.3458122,0.00007989917,0.0004795661,0.00004734033,0.0000119371,0.00002249317,0.0002447932],"genre_scores_gemma":[0.9879188,0.0001615299,0.01165733,0.00004791037,0.0001796304,4.327387e-7,0.000001778601,0.00001557972,0.00001701578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9493603,"threshold_uncertainty_score":0.3914647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00629816284512032,"score_gpt":0.2082303065708314,"score_spread":0.2019321437257111,"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."}}