{"id":"W2583532780","doi":"10.1016/j.bpj.2016.11.3143","title":"Raman Spectroscopy for Prostate Cancer Detection and Characterization","year":2017,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Prostate cancer; Prostate; Pathology; H&E stain; Prostatectomy; Medicine; Cancer; Stroma; Raman spectroscopy; Ex vivo; Histopathology; Pathological; Biology; In vivo; Staining; Internal medicine; Immunohistochemistry; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008998926,0.0006485837,0.0004101786,0.0009471708,0.0003783842,0.0007280411,0.0008686301,0.001046839,0.00178827],"category_scores_gemma":[0.0006973177,0.0005856379,0.0004379613,0.0006556229,0.0004224102,0.0006664628,0.0006155244,0.001062228,0.001033283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265101,"about_ca_system_score_gemma":0.0004905933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009374789,"about_ca_topic_score_gemma":0.002146273,"domain_scores_codex":[0.9993731,0.0001227497,0.0000230985,0.0001254023,0.0002848915,0.00007079091],"domain_scores_gemma":[0.9996458,0.0001440116,0.00004633637,0.000047544,0.00009319499,0.00002302632],"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":[0.00005723924,0.00003619413,0.0004511963,0.0001316948,0.00002497808,0.00005027416,0.00004525255,0.0003865661,0.974515,0.001080849,0.0005620823,0.02265851],"study_design_scores_gemma":[0.00000648594,0.0001308209,0.001676213,0.00002380406,0.00004740698,0.0003840572,0.00006360378,0.01014931,0.9784036,0.0005940712,0.00848656,0.00003408942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4569077,0.06309436,0.4457634,0.003085186,0.0007305946,0.0003500315,0.001134266,0.003022721,0.02591171],"genre_scores_gemma":[0.8028109,0.01377838,0.1659751,0.000754318,0.0001737669,0.0001612249,0.000465741,0.000268025,0.01561257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00178827,"threshold_uncertainty_score":0.005982339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128454761412701,"score_gpt":0.3365621137629479,"score_spread":0.3252775661488209,"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."}}