{"id":"W2239880116","doi":"10.1002/jbio.201500204","title":"Real‐time endoscopic Raman spectroscopy for<i>in vivo</i>early lung cancer detection","year":2016,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Lung cancer; Autofluorescence; Raman spectroscopy; Pathology; Carcinoma in situ; Bronchoscopy; Dysplasia; Medicine; Lung; In vivo; Endoscopy; Carcinoma; Radiology; Nuclear medicine; Internal medicine; Biology; Fluorescence; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075579,0.0003952387,0.0002738686,0.0006511742,0.0002040418,0.0004364066,0.0003771292,0.0004262713,0.001202787],"category_scores_gemma":[0.001305322,0.0002296805,0.0002658676,0.00033214,0.0003237561,0.0004098981,0.0002229467,0.0005312711,0.0003918544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451548,"about_ca_system_score_gemma":0.0002032703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003390615,"about_ca_topic_score_gemma":0.0005877516,"domain_scores_codex":[0.9993012,0.0003653367,0.00002473094,0.0001090247,0.0001585602,0.00004105662],"domain_scores_gemma":[0.9994136,0.000336207,0.0001037014,0.00005389616,0.00006186602,0.00003086569],"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":[0.0009419479,0.0002387824,0.039871,0.0002192624,0.0000730344,0.000232073,0.0002362914,0.001284659,0.8256019,0.0002877061,0.0004195683,0.1305937],"study_design_scores_gemma":[0.000085009,0.003584637,0.2272075,0.00004921248,0.0003793343,0.009984354,0.0003321423,0.04563015,0.7062936,0.000601069,0.005681485,0.0001714578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221341,0.002634099,0.07306124,0.0002392586,0.00004195771,0.0000494179,0.0001328415,0.0004033858,0.001303578],"genre_scores_gemma":[0.9479212,0.0008915035,0.05044235,0.00005187802,0.00003128474,0.00003126126,0.0001022543,0.0000343531,0.0004938932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001202787,"threshold_uncertainty_score":0.00568831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006183591911328047,"score_gpt":0.3133579272625786,"score_spread":0.3071743353512505,"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."}}