{"id":"W2084008980","doi":"10.1117/1.jbo.18.2.027003","title":"Micro-Raman spectroscopy study of cancerous and normal nasopharyngeal tissues","year":2013,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Raman spectroscopy; Principal component analysis; Raman scattering; Spectroscopy; Pathology; Nuclear magnetic resonance; Chemistry; Intensity (physics); Nuclear medicine; Analytical Chemistry (journal); Materials science; Medicine; Optics; Physics; Computer science; Artificial intelligence; Chromatography","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":[0.0006402059,0.0002658534,0.0002373527,0.0007535039,0.0002913084,0.0002687305,0.0002217764,0.0003512105,0.0004003982],"category_scores_gemma":[0.0008533021,0.000211518,0.0001990443,0.0002949898,0.0003257636,0.0002615095,0.000237544,0.0002281803,0.0001430449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692858,"about_ca_system_score_gemma":0.0001966396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176154,"about_ca_topic_score_gemma":0.001554402,"domain_scores_codex":[0.9995722,0.00007358527,0.00002554655,0.00007747591,0.0001970487,0.00005412865],"domain_scores_gemma":[0.9996463,0.0001452234,0.00003317959,0.00002834876,0.0001188492,0.00002814178],"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":[0.0001776928,0.0000287746,0.006892239,0.00003773984,0.00001424117,0.0001480687,0.00009994469,0.0001914965,0.9865558,0.00008330273,0.00001967264,0.005751011],"study_design_scores_gemma":[0.00001005107,0.0005332842,0.1105412,0.000009842826,0.00006693384,0.002815888,0.0003838153,0.008798032,0.8752854,0.0002167585,0.001311574,0.00002739569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98916,0.00101968,0.009048528,0.00002828283,0.00001425207,0.00002506876,0.00006517106,0.00004753673,0.000591426],"genre_scores_gemma":[0.9886989,0.0003651816,0.01024845,0.00002063832,0.000004707461,0.00002492499,0.0001120014,0.000007921716,0.0005172944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001176154,"threshold_uncertainty_score":0.003385723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064418018217796,"score_gpt":0.308874976425852,"score_spread":0.3008105584076343,"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."}}