{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007680458,0.0009138606,0.0005251844,0.0003935749,0.0001801733,0.0004349401,0.0007054496,0.0007887104,0.001152598],"category_scores_gemma":[0.0004881127,0.0002702209,0.0003872575,0.0002192958,0.0005581341,0.0006509934,0.0002240044,0.00154723,0.0004203678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861069,"about_ca_system_score_gemma":0.0004338934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009302584,"about_ca_topic_score_gemma":0.001161915,"domain_scores_codex":[0.9997651,0.00007013901,0.000009531489,0.00004815984,0.00005081224,0.00005629456],"domain_scores_gemma":[0.9995534,0.0001252752,0.0001025032,0.00005293496,0.00005744507,0.0001085205],"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":[0.001122134,0.005310656,0.0007617868,0.0002983755,0.0000324031,0.0002004767,0.00008615599,0.0008621973,0.9775779,0.0001353877,0.0003475065,0.01326503],"study_design_scores_gemma":[0.0006464631,0.09324398,0.006577954,0.00006276149,0.0002805911,0.001356792,0.000175994,0.009042867,0.8826339,0.0001833844,0.005763569,0.0000318105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758145,0.007826425,0.01217251,0.000557737,0.0001168513,0.0006911504,0.000293455,0.0002499402,0.002277337],"genre_scores_gemma":[0.9843991,0.00443538,0.00783022,0.000246256,0.00007178503,0.0003606639,0.0004798447,0.00003492985,0.002141792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152598,"threshold_uncertainty_score":0.004061878,"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."}}