{"id":"W2556713906","doi":"10.1152/japplphysiol.00838.2016","title":"Nondestructive cryomicro-CT imaging enables structural and molecular analysis of human lung tissue","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; British Columbia Lung Association; Alpha-1 Foundation","keywords":"Molecular imaging; Biomedical engineering; Computational biology; Pathology; Voxel; Lung; Gene expression; Biology; Gene; Medicine; Radiology; In vivo; Genetics","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":[0.0005629309,0.000403046,0.0002452032,0.0006198768,0.0002954708,0.0005021804,0.0005830923,0.0006370234,0.002924182],"category_scores_gemma":[0.0005998934,0.0005895582,0.0003084404,0.0002841756,0.0006378392,0.0006537937,0.0004693249,0.0009436682,0.0008109346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225293,"about_ca_system_score_gemma":0.0004656068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015523,"about_ca_topic_score_gemma":0.002968052,"domain_scores_codex":[0.9997818,0.00003411693,0.00001486732,0.00006365231,0.00008706423,0.00001847855],"domain_scores_gemma":[0.9994521,0.0002238368,0.00008292356,0.0001031937,0.0001081096,0.00002994821],"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":[0.00004427894,0.00001177684,0.0009405084,0.0001187491,0.000009829685,0.0001829921,0.00003547809,0.0003638517,0.9871854,0.0005733102,0.0002596336,0.01027411],"study_design_scores_gemma":[0.00001344837,0.0002450535,0.01577469,0.00006680206,0.00004941031,0.003737602,0.0001142742,0.00496138,0.9597076,0.0007340305,0.0145558,0.00003985393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3698443,0.01715756,0.594546,0.001313052,0.000252084,0.0003149318,0.002153648,0.001181506,0.013237],"genre_scores_gemma":[0.5274206,0.01021586,0.452617,0.0003294037,0.0001273427,0.000222558,0.001183089,0.0001937152,0.007690473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002924182,"threshold_uncertainty_score":0.009782314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002729209971843115,"score_gpt":0.2945648974407559,"score_spread":0.2918356874689128,"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."}}