{"id":"W4396505947","doi":"10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a2591","title":"Digital Spatial Gene Expression Profiling of Fibrosing Interstitial Lung Diseases","year":2024,"lang":"en","type":"article","venue":"","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Lawson Health Research Institute","funders":"","keywords":"Gene expression profiling; Profiling (computer programming); Pathology; Interstitial lung disease; Lung; Gene expression; Medicine; Computational biology; Computer science; Gene; Biology; Internal medicine; Genetics","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":[0.0001225794,0.0001036551,0.0001862029,0.0008138783,0.0001257725,0.0003482121,0.0001057182,0.0001581191,0.001358425],"category_scores_gemma":[0.000162605,0.00009120071,0.0001460269,0.0008993933,0.0001784919,0.0001344955,0.0001594732,0.0001791986,0.0002461958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366995,"about_ca_system_score_gemma":0.0001512877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033201,"about_ca_topic_score_gemma":0.001751275,"domain_scores_codex":[0.9998381,0.00001505114,0.000006599812,0.00003667704,0.000068892,0.00003464474],"domain_scores_gemma":[0.999933,0.00001737248,0.00001523963,0.000009441922,0.00001703452,0.000007874544],"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":[0.0003316301,0.00003278848,0.006877304,0.00007528311,0.00001583408,0.00006403396,0.00004265874,0.001052172,0.9697496,0.0002709431,0.0001625873,0.02132515],"study_design_scores_gemma":[0.00002679299,0.0003080211,0.1953659,0.00001993274,0.00009472307,0.0007529379,0.0003217867,0.02033624,0.7760888,0.0005029368,0.006153856,0.00002803279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804951,0.001452142,0.01264532,0.00009613378,0.00003457963,0.00002292432,0.001859569,0.0001514972,0.00324266],"genre_scores_gemma":[0.984506,0.0009073452,0.01073771,0.00006252614,0.00001943066,0.00003839214,0.001363692,0.00002051607,0.002344274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001358425,"threshold_uncertainty_score":0.004544377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007436706787871133,"score_gpt":0.2594331236587366,"score_spread":0.2519964168708655,"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."}}