{"id":"W2807183884","doi":"10.1016/j.atherosclerosissup.2018.04.324","title":"Gene Expression Profiling of Lesion-Resident Macrophages in Human Atherosclerosis","year":2018,"lang":"en","type":"article","venue":"Atherosclerosis Supplements","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Gene expression profiling; Profiling (computer programming); Lesion; Gene expression; Biology; Pathology; Gene; Medicine; Genetics; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006783885,0.0004872121,0.0007708677,0.0002361513,0.0004367073,0.0000434958,0.0006902546,0.0003245232,0.003421813],"category_scores_gemma":[0.00005396313,0.0004429632,0.000470352,0.0003984015,0.000543554,0.0002302412,0.0004214129,0.0002509787,0.0003036685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181725,"about_ca_system_score_gemma":0.00005632777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000522362,"about_ca_topic_score_gemma":0.00008410574,"domain_scores_codex":[0.9965307,0.0004499272,0.001031817,0.0008583184,0.0002727999,0.0008564],"domain_scores_gemma":[0.9982825,0.00007189262,0.0003879277,0.0009944957,0.0001833638,0.0000798406],"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":[0.00005335891,0.0003844187,0.2081547,0.00002881249,0.0001409867,5.326746e-7,0.0005322385,0.000005812104,0.7889697,0.00006675717,0.001051456,0.000611245],"study_design_scores_gemma":[0.002707156,0.0003087457,0.236213,0.0002620821,0.00007310932,0.000001615293,0.0004712982,0.000001521624,0.7590859,0.00007566144,0.0004749947,0.0003249643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966063,0.001217195,0.0003209675,0.00002997974,0.0004617647,0.0007535144,0.0003052817,0.00009497907,0.0002099426],"genre_scores_gemma":[0.9976591,0.0003877053,0.0008974826,0.00009946448,0.0001040947,0.0001981272,0.0002569206,0.00009401439,0.0003030657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0298838,"threshold_uncertainty_score":0.9998022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0323570917158709,"score_gpt":0.2858436005836829,"score_spread":0.2534865088678119,"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."}}