{"id":"W4379094900","doi":"10.1111/joa.13909","title":"Molecular characterization of human peripheral nerves using desorption electrospray ionization mass spectrometry imaging","year":2023,"lang":"en","type":"article","venue":"Journal of Anatomy","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Mass spectrometry imaging; Pathology; Anatomy; Peripheral nervous system; Desorption electrospray ionization; MALDI imaging; Chemistry; Sensory system; Central nervous system; Mass spectrometry; Medicine; Biology; Neuroscience; Matrix-assisted laser desorption/ionization; Ionization; Desorption; Thermal ionization mass spectrometry; Ion","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":[],"consensus_categories":[],"category_scores_codex":[0.0002199807,0.0001187489,0.000217985,0.0004017057,0.00009394074,0.00005165294,0.0001810944,0.00006483519,0.0005492573],"category_scores_gemma":[0.00002334136,0.0001210678,0.0001356911,0.0009611317,0.00003239253,0.0002521158,0.00002344243,0.0001976424,0.000001184141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714618,"about_ca_system_score_gemma":0.00004647808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000715535,"about_ca_topic_score_gemma":2.814631e-7,"domain_scores_codex":[0.9988568,0.00002164789,0.0005010618,0.0001280422,0.0003027175,0.000189744],"domain_scores_gemma":[0.998862,0.00001173676,0.0006715163,0.0001656761,0.0002317282,0.00005735884],"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":[0.000007375046,0.00003905474,0.01141223,0.000046453,0.00002879631,0.00001297965,0.00002958381,0.00004814578,0.9838051,0.004234959,0.00002080432,0.00031448],"study_design_scores_gemma":[0.0002526764,0.00004053298,0.004580352,0.00007271959,0.00004583234,0.00005351056,0.00006557523,0.005596656,0.9858328,0.003133933,0.0001994488,0.0001259867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543214,0.00005187735,0.04458407,0.0002051944,0.00002698885,0.00004575753,0.000006299368,0.00006474638,0.0006936622],"genre_scores_gemma":[0.9954411,0.00007651572,0.004164564,0.00001763875,0.0001508554,0.000002554987,0.00005370895,0.00002855328,0.00006447316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04111973,"threshold_uncertainty_score":0.6013982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00991519243260051,"score_gpt":0.2848237179095673,"score_spread":0.2749085254769668,"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."}}