{"id":"W7071865094","doi":"","title":"UNDERSTANDING HOW ACTIVINS CONTRIBUTE TO TGFß1 PROFIBROTIC SIGNALIING IN CHRONIC KIDNEY DISEASE","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; University of Toronto; Chinese Academy of Sciences; Kidney Foundation of Canada","keywords":"Follistatin; Kidney disease; Context (archaeology); Fibrosis; Mediator; Transforming growth factor; Extracellular matrix; Receptor; Kidney","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004758861,0.0004406646,0.0004443321,0.0006451517,0.0003092398,0.001253108,0.0004244745,0.001145034,0.001629026],"category_scores_gemma":[0.0003948454,0.0002539842,0.000360672,0.0003215604,0.000583311,0.0012698,0.0005602089,0.001951931,0.0005127948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884944,"about_ca_system_score_gemma":0.0007114151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047055,"about_ca_topic_score_gemma":0.001525704,"domain_scores_codex":[0.9998069,0.00003333562,0.00002058466,0.00004503595,0.00004408963,0.00005004331],"domain_scores_gemma":[0.9998006,0.00003273925,0.00005499445,0.00000917734,0.00004984157,0.00005273228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001169965,0.0005421871,0.02714669,0.009354267,0.0003596388,0.00333138,0.002006629,0.002259553,0.325378,0.05537011,0.02763554,0.545446],"study_design_scores_gemma":[0.0002099926,0.001857342,0.1192496,0.007212596,0.000944346,0.009759106,0.004978342,0.0101619,0.05638748,0.09399749,0.6950354,0.0002064318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08708411,0.8616353,0.01008447,0.02780693,0.001713578,0.00006934752,0.0003793307,0.0001171867,0.01110978],"genre_scores_gemma":[0.3300971,0.644786,0.007686734,0.006838418,0.002838576,0.00008270959,0.0002979859,0.00002062196,0.007351978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001629026,"threshold_uncertainty_score":0.005449653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730838465503161,"score_gpt":0.2316251714245728,"score_spread":0.1943167867695412,"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."}}