{"id":"W828489942","doi":"10.1021/acs.analchem.5b01992","title":"Contrast Agent Mass Spectrometry Imaging Reveals Tumor Heterogeneity","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; York University; University Health Network","funders":"","keywords":"Chemistry; Mass spectrometry imaging; Magnetic resonance imaging; Mass spectrometry; In vivo; MRI contrast agent; Gadolinium; Chromatography; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002529513,0.0003016247,0.0003900432,0.00004106376,0.00008527454,0.0001012119,0.0004815679,0.0001164448,0.006403744],"category_scores_gemma":[0.0002311831,0.0003012269,0.0002208377,0.0003680997,0.0001466072,0.00007612299,0.0001291825,0.0004309489,0.000113958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003556356,"about_ca_system_score_gemma":0.0000769806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002014218,"about_ca_topic_score_gemma":6.030783e-7,"domain_scores_codex":[0.9978982,0.00001093825,0.0004583599,0.0005971886,0.000452289,0.0005830796],"domain_scores_gemma":[0.9982215,0.00007085416,0.0001425131,0.0008131531,0.0001295904,0.0006223767],"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":[0.00003117849,0.0002709252,0.03426516,0.0001812152,0.000107373,0.0001493073,0.0000100667,0.000004810917,0.9466373,0.003436363,0.01463742,0.0002689044],"study_design_scores_gemma":[0.0006386252,0.00001239518,0.0003459516,0.00004713057,0.0001228879,0.0001599002,0.0001425747,0.00353825,0.9650719,0.01015784,0.01916124,0.0006012773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4708281,0.0003454531,0.004300854,0.001045814,0.00002977031,0.00009869921,0.00009713628,0.0005897722,0.5226644],"genre_scores_gemma":[0.992168,0.00001197528,0.003519302,0.0002437036,0.0003924039,0.00004495796,0.00007163948,0.00004166289,0.003506336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5213399,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336340482969948,"score_gpt":0.2891575746307963,"score_spread":0.2657941698010968,"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."}}