{"id":"W6949940217","doi":"10.5281/zenodo.7703337","title":"Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Therapeutic Uses of Natural Elements","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transcriptome; Whole blood; Gene expression; Immune system; Gene; Stroke (engine); Gene expression profiling; Regulation of gene expression; Gene regulatory network","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":[0.0005815407,0.0004691366,0.0007043888,0.001241092,0.0005786355,0.0007342667,0.0005577514,0.0005809651,0.2354325],"category_scores_gemma":[0.002115539,0.0003309355,0.0006971692,0.001643658,0.0001338612,0.0007453241,0.0005962742,0.0005952184,0.02432649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004374336,"about_ca_system_score_gemma":0.001250929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004243454,"about_ca_topic_score_gemma":0.007987644,"domain_scores_codex":[0.9997277,0.00002638521,0.000031141,0.00007406084,0.00008230242,0.00005843483],"domain_scores_gemma":[0.9986635,0.0006679171,0.0001422466,0.00009534529,0.0002818223,0.0001491735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002761058,0.0001365192,0.01903241,0.00419939,0.0002128648,0.0004555786,0.0002175635,0.001547776,0.04151809,0.001441692,0.8714972,0.05697982],"study_design_scores_gemma":[0.001997318,0.001551336,0.4357413,0.003304119,0.000540911,0.003364365,0.001055847,0.01573629,0.0316214,0.009665347,0.4950666,0.0003550836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009648431,0.0005969082,0.002305594,0.0004079425,0.0003541549,0.00008502741,0.9843884,0.0006043874,0.001609307],"genre_scores_gemma":[0.05697058,0.00185423,0.01228195,0.000746577,0.0003174154,0.001019065,0.9176722,0.000500414,0.008637499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2354325,"threshold_uncertainty_score":0.7876003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282210761300522,"score_gpt":0.3426745587355666,"score_spread":0.2798524511225614,"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."}}