{"id":"W4388653149","doi":"10.1097/shk.0000000000002274","title":"SINGLE-CELL TRANSCRIPTOME ANALYSIS IN HEALTH AND DISEASE","year":2023,"lang":"en","type":"article","venue":"Shock","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University; Thrombosis and Atherosclerosis Research Institute; Hamilton Health Sciences; Hamilton General Hospital","funders":"National Institute of General Medical Sciences; National Institute on Aging","keywords":"Transcriptome; Computational biology; Single-cell analysis; Biology; Gene expression profiling; KEGG; Cell; Bioinformatics; Gene; Gene expression; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001290941,0.0001139714,0.0001656209,0.0001626583,0.00004738795,0.00002041013,0.00008846847,0.00006043789,0.00001193538],"category_scores_gemma":[0.00002486452,0.0001154489,0.00009929691,0.0005134486,0.00003773663,0.00000255036,0.00002212075,0.00006155257,0.000007572529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001310655,"about_ca_system_score_gemma":0.00007944213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007748053,"about_ca_topic_score_gemma":0.0002156641,"domain_scores_codex":[0.9990976,0.00004962907,0.0001925254,0.0003119826,0.00008782354,0.000260428],"domain_scores_gemma":[0.9994795,0.000007720835,0.00002957209,0.000198972,0.00001445114,0.0002698296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000339754,0.0003148699,0.1685699,0.0002719891,0.0001752386,0.00003114164,0.0006864404,0.0008414366,0.8184241,0.00005731179,0.003123185,0.007164665],"study_design_scores_gemma":[0.01589688,0.004507088,0.3307949,0.0002820705,0.001072375,0.00001479728,0.003049755,0.03675742,0.1626922,0.003104446,0.4372384,0.004589672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960428,0.001433026,0.001112135,0.0007790908,0.0001019225,0.0001151107,0.00003431079,0.00002891643,0.0003526261],"genre_scores_gemma":[0.9970763,0.0004698656,0.0001611234,0.0006580463,0.00005450948,0.000005117375,0.0002673896,0.0000168271,0.001290773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6557319,"threshold_uncertainty_score":0.470787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822049911996216,"score_gpt":0.2469334540352703,"score_spread":0.2287129549153081,"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."}}