{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008462875,0.000717191,0.0003188742,0.001150036,0.0002813179,0.0004620139,0.0003861921,0.0005146465,0.002373722],"category_scores_gemma":[0.001223573,0.0002845673,0.0002745402,0.0005550613,0.0003935187,0.0005770626,0.0006631874,0.0006767697,0.001634722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177459,"about_ca_system_score_gemma":0.0003405918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002978051,"about_ca_topic_score_gemma":0.0004382281,"domain_scores_codex":[0.9994035,0.00007590888,0.00003878251,0.0001403257,0.0002890684,0.00005242952],"domain_scores_gemma":[0.9993529,0.0001680081,0.0001616001,0.00006449839,0.0001991119,0.00005402993],"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":[0.0001064482,0.00001685333,0.0008461543,0.000101801,0.00001454622,0.0001352205,0.00003569892,0.0001110711,0.9913656,0.000170871,0.000397374,0.006698411],"study_design_scores_gemma":[0.00001661925,0.0001489654,0.005761328,0.00002142191,0.00002002625,0.001317736,0.0000664572,0.003274917,0.9818931,0.0004049314,0.00703977,0.00003480188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438217,0.0122217,0.3200926,0.001420016,0.0004258468,0.0006984948,0.005049511,0.004913993,0.01135608],"genre_scores_gemma":[0.746127,0.006791176,0.2344622,0.0009301378,0.0001979787,0.0006895825,0.00375281,0.0004947909,0.006554311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002373722,"threshold_uncertainty_score":0.007940888,"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."}}