{"id":"W2020202821","doi":"10.1364/boe.5.002488","title":"Photothermal tomography for the functional and structural evaluation, and early mineral loss monitoring in bones","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Nanjing University; Killam Trusts; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Optical coherence tomography; Photothermal therapy; Materials science; Optics; Biomedical engineering; Tomography; Microscopy; Optical tomography; Medicine; Nanotechnology; Physics","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":[0.0003014031,0.0001019225,0.0001060272,0.00006372226,0.00007078135,0.00004757458,0.00006479796,0.00005649256,0.000007648659],"category_scores_gemma":[0.00008154799,0.00007508299,0.00002251636,0.00007759283,0.0001538526,0.00007610446,0.00002004392,0.0001005461,1.869812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001398784,"about_ca_system_score_gemma":0.000009190316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000161113,"about_ca_topic_score_gemma":9.72362e-7,"domain_scores_codex":[0.9992955,0.00001544797,0.0001492708,0.0001269523,0.0002163411,0.0001964371],"domain_scores_gemma":[0.9995274,0.0002644148,0.00001664587,0.00008364321,0.00003521969,0.00007265408],"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":[0.0003608626,0.000132765,0.2925878,0.001084589,0.000564088,0.00001660623,0.008083831,0.02732911,0.4842966,0.003295742,0.001628653,0.1806194],"study_design_scores_gemma":[0.001197131,0.00003019941,0.2562832,0.00004844084,0.00004018439,0.00001766976,0.0001306738,0.7400611,0.0008300477,0.0005198001,0.0006885579,0.0001529994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710016,0.0007545338,0.02728886,0.000086212,0.0005650377,0.0002035424,0.00001061898,0.00003479068,0.00005480331],"genre_scores_gemma":[0.9972863,0.00002403688,0.002225718,0.00001298081,0.0003578366,0.00006561408,0.000004147179,0.00001420492,0.000009163093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.712732,"threshold_uncertainty_score":0.3061796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134396589350746,"score_gpt":0.23546243128527,"score_spread":0.2241184653917625,"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."}}