{"id":"W3201890011","doi":"10.3390/metabo11100660","title":"Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns","year":2021,"lang":"en","type":"review","venue":"Metabolites","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Princess Margaret Hospital Foundation","keywords":"Lipidome; Profiling (computer programming); Lipidomics; Mass spectrometry; Context (archaeology); Computational biology; Computer science; Bioinformatics; Chemistry; Chromatography; Biology","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":[0.00241026,0.0008489916,0.001324745,0.00155542,0.000261524,0.001485061,0.001020097,0.00127787,0.002201132],"category_scores_gemma":[0.002416336,0.0003930615,0.0008521723,0.001283928,0.0005788283,0.001391095,0.0008091809,0.002111268,0.001552434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007331176,"about_ca_system_score_gemma":0.001265436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134247,"about_ca_topic_score_gemma":0.002171358,"domain_scores_codex":[0.9993576,0.0001837474,0.00005376762,0.0001176099,0.0002399653,0.00004728795],"domain_scores_gemma":[0.9986179,0.000922007,0.0001110621,0.00005019383,0.0002564894,0.00004225329],"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":[0.0001562963,0.00009524925,0.0007032492,0.02100953,0.0002677248,0.0002421203,0.00008391171,0.001279796,0.01113205,0.008913848,0.01399118,0.9421251],"study_design_scores_gemma":[0.00003073047,0.0004477618,0.002028121,0.005200157,0.0004003622,0.001697459,0.0001341383,0.001109677,0.01202427,0.007434088,0.9694202,0.00007297106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006281658,0.993901,0.002400124,0.0006104165,0.0003242563,0.0000188673,0.00005580108,0.00002856593,0.002032784],"genre_scores_gemma":[0.004659498,0.9907016,0.002630115,0.0004740564,0.0002390091,0.00003240537,0.00007846688,0.000009066523,0.001175873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00241026,"threshold_uncertainty_score":0.01274681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08109893174753163,"score_gpt":0.3525297003788441,"score_spread":0.2714307686313125,"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."}}