{"id":"W3016385423","doi":"10.1371/journal.pone.0231488","title":"Photoacoustic imaging to localize indeterminate pulmonary nodules: A preclinical study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"Yonsei University College of Medicine; National Research Foundation of Korea; Yonsei University; National Research Foundation","keywords":"Indocyanine green; Medicine; Lung; Pathology; Nuclear medicine; Fluorescence-lifetime imaging microscopy; In vivo; Subcutaneous tissue; Subcutaneous injection; Imaging phantom; Fluorescence; Biology; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001722866,0.0002598075,0.0004306232,0.00007445736,0.00006696328,0.00006262839,0.0003263216,0.00004689101,0.0001238787],"category_scores_gemma":[0.0003559862,0.0002787539,0.000060499,0.0003199438,0.00003590451,0.000138013,0.0001140863,0.0004102891,0.0002685393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006992907,"about_ca_system_score_gemma":0.00002033484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001320524,"about_ca_topic_score_gemma":0.000001531982,"domain_scores_codex":[0.9982336,0.00004011047,0.0004040223,0.0004300977,0.000415618,0.0004766065],"domain_scores_gemma":[0.9990515,0.0001708317,0.0000304396,0.0003190155,0.00005536485,0.000372888],"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":[0.0004177223,0.01500812,0.06143627,0.002689544,0.001548799,0.002685788,0.01749294,0.03308912,0.8309308,0.000008790349,0.002657233,0.03203482],"study_design_scores_gemma":[0.0007296927,0.0002496901,0.003404759,0.0002774632,0.0003638448,0.00001489503,0.001218259,0.9796968,0.0133744,0.00002638138,0.00008697886,0.0005569033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979967,0.0001770599,0.0152942,0.0002968003,0.0001153307,0.0009345426,0.00003428769,0.0009063112,0.002274458],"genre_scores_gemma":[0.996507,0.00001407653,0.001985576,0.0009972817,0.0002379566,0.000111683,0.000005037986,0.00008675255,0.00005461298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9466076,"threshold_uncertainty_score":0.9999664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04703809866907434,"score_gpt":0.2402353704013093,"score_spread":0.193197271732235,"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."}}