{"id":"W2887766064","doi":"10.1364/boe.9.004294","title":"Combining high wavenumber and fingerprint Raman spectroscopy for the detection of prostate cancer during radical prostatectomy","year":2018,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep Edouard Montpetit; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Prostate Cancer Canada","keywords":"Prostatectomy; Prostate cancer; Raman spectroscopy; Receiver operating characteristic; Prostate; Wavenumber; Medicine; Cancer; Internal medicine; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031519,0.0004211172,0.0004682366,0.0006547528,0.0001833863,0.0004374255,0.0002506447,0.0004304028,0.0002019929],"category_scores_gemma":[0.001420103,0.0003052671,0.0003128699,0.0003960361,0.000254828,0.0004711708,0.0003691157,0.0004029254,0.0001476301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310306,"about_ca_system_score_gemma":0.0002088235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006184463,"about_ca_topic_score_gemma":0.001448471,"domain_scores_codex":[0.9993258,0.0001991735,0.0000402579,0.000191955,0.0001951495,0.00004768286],"domain_scores_gemma":[0.9993929,0.0002943795,0.0001298887,0.00005755329,0.00009307088,0.00003232674],"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":[0.0006023564,0.0001845343,0.04000275,0.0001484589,0.0000886054,0.00009814939,0.0001201299,0.003569874,0.8319107,0.00007243932,0.000170053,0.123032],"study_design_scores_gemma":[0.00002607476,0.002299147,0.2054,0.00003614051,0.0002985758,0.001779564,0.0002480398,0.1454771,0.6424913,0.0004844778,0.00131112,0.0001484891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205406,0.001234701,0.07710566,0.0001065217,0.00002737876,0.00003727806,0.00009125452,0.0003036913,0.0005531149],"genre_scores_gemma":[0.9522939,0.0004418939,0.04676555,0.00007376532,0.00002198699,0.00002351524,0.00007989591,0.0000215256,0.0002779582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001031519,"threshold_uncertainty_score":0.005455256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008769329365362184,"score_gpt":0.3052300767104807,"score_spread":0.2964607473451186,"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."}}