{"id":"W2531622250","doi":"10.1038/srep35374","title":"Rapid Detection of Necrosis in Breast Cancer with Desorption Electrospray Ionization Mass Spectrometry","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"University of Alberta; McGill University","keywords":"Necrosis; Breast cancer; Mass spectrometry; Mass spectrometry imaging; Pathology; Chemistry; Cancer; Medicine; Chromatography; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004034116,0.0001309693,0.0001678801,0.0003054762,0.0001080278,0.00006316862,0.0001044266,0.00008971643,0.002697084],"category_scores_gemma":[0.00002366569,0.00009293164,0.00005216766,0.001405601,0.000137699,0.0001971465,0.00001989807,0.00008975407,0.000003180106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039484,"about_ca_system_score_gemma":0.00008792111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131173,"about_ca_topic_score_gemma":0.00008786417,"domain_scores_codex":[0.9983708,0.00001278301,0.0004160398,0.000564908,0.0003668736,0.0002685625],"domain_scores_gemma":[0.9987254,0.00002022355,0.0004110108,0.0006024122,0.0001815464,0.0000594388],"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":[0.00002061004,0.0000646794,0.04542724,0.00002638411,0.00000847148,0.000005536407,0.00001306443,0.00000468747,0.9469497,0.0001786782,0.0001062326,0.007194694],"study_design_scores_gemma":[0.0001538106,0.00001914859,0.008768466,0.000100628,0.00001471886,0.0001024264,0.00001134195,0.00004770714,0.9836506,0.005874547,0.001117891,0.0001386646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766053,0.00008747654,0.01982895,0.0003921424,0.0002080084,0.0001808951,0.00001716871,0.0001486735,0.002531404],"genre_scores_gemma":[0.9969632,0.00008069367,0.001469561,0.000003900102,0.00004651083,0.0001186545,0.00001696402,0.00001988005,0.001280643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670093,"threshold_uncertainty_score":0.9982146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006548752496063097,"score_gpt":0.2265233357941343,"score_spread":0.2199745832980712,"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."}}