{"id":"W2804059730","doi":"10.1039/c8an00310f","title":"Platforms for rapid cancer characterization by ambient mass spectrometry: advancements, challenges and opportunities for improvement towards intrasurgical use","year":2018,"lang":"en","type":"review","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Toronto Public Health; University Health Network","funders":"","keywords":"Mass spectrometry; Desorption electrospray ionization; Characterization (materials science); Mass spectrometry imaging; Ambient ionization; Nanotechnology; Materials science; Chemistry; Analytical Chemistry (journal); Computer science; Ionization; Chromatography; Chemical ionization","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"],"consensus_categories":[],"category_scores_codex":[0.0003458681,0.0004406402,0.001010395,0.000134851,0.000212187,0.0001176744,0.0004012251,0.0002219996,0.0006260345],"category_scores_gemma":[0.00001885282,0.0002871538,0.0003547445,0.0001391624,0.0001051089,0.0001292995,0.00009785538,0.0001736589,0.000001017058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469788,"about_ca_system_score_gemma":0.00008137974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621443,"about_ca_topic_score_gemma":0.000005842513,"domain_scores_codex":[0.9982024,0.00001161252,0.0006184893,0.0005484929,0.0002259478,0.000393076],"domain_scores_gemma":[0.9984269,0.0001288107,0.0006256597,0.0005954953,0.0001176119,0.0001055903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002252991,0.00007716801,3.191655e-7,0.006695498,0.0006119108,3.580161e-7,0.00002415946,1.47805e-8,0.002041211,0.006824033,0.001139318,0.9825635],"study_design_scores_gemma":[0.0002051672,0.0001359281,6.628397e-7,0.0008481809,0.001084998,0.000002554651,0.00006495944,0.00004360142,0.002023405,0.0006645509,0.9945762,0.0003498509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001025463,0.9839324,0.008967288,0.0005734536,0.00005906838,0.001522734,0.004228173,0.0001036227,0.000510757],"genre_scores_gemma":[0.00009147481,0.9871392,0.00084756,0.00006634151,0.0004405026,0.005088333,0.003647886,0.00007149836,0.002607244],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9934368,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288688545734389,"score_gpt":0.3422546527427857,"score_spread":0.2133857981693468,"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."}}