{"id":"W2546434489","doi":"10.1088/0031-9155/61/23/r370","title":"A review of Raman spectroscopy advances with an emphasis on clinical translation challenges in oncology","year":2016,"lang":"en","type":"review","venue":"Physics in Medicine and Biology","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Polytechnique Montréal; Université de Montréal; Centre Hospitalier de l’Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Raman spectroscopy; Limiting; Spectroscopy; Computer science; Translation (biology); Raman scattering; Medical physics; Materials science; Optics; Biomedical engineering; Medicine; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046675,0.0002851521,0.001646034,0.0001054888,0.00001193673,0.000001047869,0.0002947528,0.0005255087,0.00001998755],"category_scores_gemma":[0.0002314504,0.00015203,0.0001071335,0.0001966536,0.0009074694,0.000004015304,0.00006075899,0.0004525983,9.937934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003381345,"about_ca_system_score_gemma":0.0001639165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005889857,"about_ca_topic_score_gemma":0.00002451015,"domain_scores_codex":[0.9976696,0.0005086836,0.0007597773,0.000654362,0.0001132281,0.0002943563],"domain_scores_gemma":[0.9988573,0.0003670143,0.0002664718,0.0003629313,0.00004551357,0.0001007581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001418319,0.0002169863,0.0000269205,0.01014504,0.00003456785,0.000003662632,0.000007005996,2.745534e-9,0.0005283005,0.0005363253,0.0001418013,0.9882175],"study_design_scores_gemma":[0.0006603224,0.008811252,0.000002469468,0.04626558,0.00005249868,0.000009895045,0.00000954301,3.52058e-7,0.0003680995,0.001975956,0.9416692,0.0001747943],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006872424,0.9960958,0.0001920033,0.0006703578,0.00005470103,0.00045808,0.00001634951,0.000006405174,0.002437595],"genre_scores_gemma":[0.00006113266,0.9978588,0.0007942281,0.0003659139,0.0005733347,0.0001160844,0.0002046966,0.00002031284,0.000005473833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9880428,"threshold_uncertainty_score":0.6199605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4531203461241745,"score_gpt":0.596127930413004,"score_spread":0.1430075842888296,"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."}}