{"id":"W4200205358","doi":"10.1101/2021.12.14.472639","title":"The intrarenal renin-angiotensin system in hypertension: Insights from mathematical modelling","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Renin-Angiotensin System Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renin–angiotensin system; Angiotensin II; Kidney; Internal medicine; Endocrinology; Homeostasis; Angiotensin II receptor type 1; Blood pressure; Chemistry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0007616886,0.001027488,0.002290044,0.0003621274,0.0003901927,0.0004339954,0.0005528366,0.001067549,0.00001132439],"category_scores_gemma":[0.0005634116,0.0007693827,0.0005439232,0.0007902843,0.0002913789,0.0001260573,0.0009564071,0.001736633,0.0001072056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008435489,"about_ca_system_score_gemma":0.0009248756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000282304,"about_ca_topic_score_gemma":0.00001925043,"domain_scores_codex":[0.9940338,0.0004517789,0.001733313,0.00169884,0.001187722,0.0008946144],"domain_scores_gemma":[0.9939983,0.0006190097,0.0006374148,0.002836508,0.001480257,0.0004285484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001732537,0.002026784,0.04889215,0.003068982,0.01083313,0.03732293,0.001454521,0.007486651,0.8698906,0.01072378,0.006537127,0.00003081851],"study_design_scores_gemma":[0.007472629,0.0003389015,0.4790677,0.06125025,0.004270983,0.00001087352,0.0003656017,0.2535991,0.1824697,0.00005804012,0.005451239,0.005644899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710845,0.0184845,0.005316421,0.001014,0.001997432,0.001493268,0.00004911873,0.0005191813,0.00004159802],"genre_scores_gemma":[0.9800746,0.0004619606,0.01757864,0.000162014,0.001282781,0.0001873038,0.000001575352,0.0002403819,0.00001073609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6874208,"threshold_uncertainty_score":0.9994757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517482485976751,"score_gpt":0.2186024871609349,"score_spread":0.1934276623011674,"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."}}