{"id":"W4399993021","doi":"10.5858/arpa.2024-0002-oa","title":"In Situ Lung Dust Analysis by Automated Field Emission Scanning Electron Microscopy With Energy Dispersive X-ray Spectroscopy: A Method for Assessing Inorganic Particles in Lung Tissue From Coal Miners","year":2024,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Particle size; In situ; Particle (ecology); Energy-dispersive X-ray spectroscopy; Context (archaeology); Coal; Materials science; Analytical Chemistry (journal); Mineralogy; Scanning electron microscope; Pathology; Chemistry; Environmental chemistry; Medicine; Composite material; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007878791,0.000427596,0.0002994593,0.001482623,0.0003866031,0.0003945532,0.0005137628,0.0006671539,0.0007697704],"category_scores_gemma":[0.0005776178,0.0002458477,0.0002733425,0.0004259364,0.00038763,0.000323971,0.0003142171,0.0002496478,0.0003225288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178323,"about_ca_system_score_gemma":0.0002367867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007965291,"about_ca_topic_score_gemma":0.002382251,"domain_scores_codex":[0.999375,0.0001306999,0.00005469515,0.0001583282,0.000247189,0.00003411989],"domain_scores_gemma":[0.9995219,0.0001121789,0.00009006241,0.00008007696,0.0001706039,0.00002518756],"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":[0.00004747297,0.0000309834,0.008093574,0.00006777672,0.00001542478,0.00004755209,0.00005746444,0.0001227604,0.9846561,0.00004023853,0.00004008773,0.006780682],"study_design_scores_gemma":[0.00001220947,0.0002994585,0.1246089,0.00001874459,0.00006067743,0.001338237,0.0001693486,0.006767563,0.8639488,0.0001822214,0.002562112,0.00003172623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8257537,0.0009986917,0.1701157,0.00008876277,0.00004337597,0.0002211604,0.000703076,0.0004659533,0.00160951],"genre_scores_gemma":[0.6957381,0.0007858908,0.3000348,0.000101254,0.00003252038,0.0002727285,0.0008002592,0.00008705786,0.002147417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001482623,"threshold_uncertainty_score":0.004166782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004606405490816165,"score_gpt":0.3186364426204122,"score_spread":0.3140300371295961,"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."}}