{"id":"W2064147938","doi":"10.2147/ijn.s71811","title":"Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors","year":2015,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"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":"Saliva; Raman spectroscopy; Surface-enhanced Raman spectroscopy; Materials science; Pathology; Cancer research; Medicine; Raman scattering; Internal medicine; 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":[0.001098305,0.0004977545,0.0003976289,0.0009565136,0.000217194,0.0003263101,0.0002047455,0.0004127123,0.0004066741],"category_scores_gemma":[0.001131539,0.0002394925,0.0003273658,0.0003527391,0.0002647621,0.0002907942,0.0002993003,0.0003769204,0.0002245741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036615,"about_ca_system_score_gemma":0.0002140191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00026867,"about_ca_topic_score_gemma":0.0006266222,"domain_scores_codex":[0.999464,0.0002414988,0.00002562931,0.00006925777,0.0001624312,0.00003730117],"domain_scores_gemma":[0.9996345,0.0001884471,0.00005542022,0.00002303487,0.00007126726,0.0000273161],"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":[0.0006168392,0.00009974411,0.02123883,0.0002050686,0.0000530678,0.0001883232,0.0001535951,0.0006160905,0.9107679,0.000171516,0.0002021012,0.06568696],"study_design_scores_gemma":[0.00004496831,0.001097678,0.09147844,0.00003879592,0.0002624836,0.004049663,0.0004658963,0.05014198,0.8488392,0.0007022096,0.002806019,0.00007274019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541236,0.004231364,0.04010812,0.0001820826,0.00003828065,0.00004754196,0.0001217439,0.0001762725,0.0009708865],"genre_scores_gemma":[0.9540509,0.001247449,0.04405665,0.00006000858,0.00002266754,0.00003121315,0.00009231786,0.00001457892,0.0004242666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098305,"threshold_uncertainty_score":0.005808473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564411883034095,"score_gpt":0.3222841322986257,"score_spread":0.3066400134682847,"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."}}