{"id":"W4288967991","doi":"10.1002/jbio.202200121","title":"Raman spectroscopy and supervised learning as a potential tool to identify <scp>high‐dose‐rate</scp>‐brachytherapy induced biochemical profiles of prostate cancer","year":2022,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Kelowna General Hospital; Interior Health; Queen's University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Brachytherapy; Prostate cancer; Principal component analysis; Random forest; Dose rate; Radiation therapy; Raman spectroscopy; Medicine; Cancer; Oncology; Nuclear medicine; Medical physics; Computer science; Internal medicine; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007353645,0.0002067998,0.0003593614,0.0001578078,0.0001443478,0.00004986796,0.0004516793,0.0001827221,0.0001315352],"category_scores_gemma":[0.0003788657,0.00018122,0.000162704,0.0003508146,0.000155284,0.00001029537,0.0004493194,0.0007422258,0.000001241192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009160309,"about_ca_system_score_gemma":0.0003770404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004222582,"about_ca_topic_score_gemma":7.991974e-7,"domain_scores_codex":[0.9979134,0.0001349066,0.0005552197,0.0003462981,0.0006331436,0.0004170868],"domain_scores_gemma":[0.9989434,0.00004063709,0.0003128219,0.0002189339,0.0002400068,0.0002442262],"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":[0.0006280334,0.0001823341,0.0008047639,0.00004914843,0.0001046549,0.00003482503,0.00011709,0.00001493136,0.9946409,0.00002015145,0.002717007,0.0006861679],"study_design_scores_gemma":[0.001042257,0.003107651,0.0007428032,0.00003916695,0.00002769912,0.00008759505,0.0002628832,0.00007517221,0.9846932,0.0004290009,0.009380099,0.0001124434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997239,0.001583308,0.00009302457,0.0004516076,0.000179212,0.000335211,0.00004034417,0.00001132532,0.00006694342],"genre_scores_gemma":[0.9934173,0.002540427,0.003014935,0.0003852476,0.0001992215,0.00006694528,0.00003334162,0.00003711603,0.00030546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009947663,"threshold_uncertainty_score":0.7389939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009009465805612491,"score_gpt":0.3233002523655777,"score_spread":0.3142907865599652,"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."}}