{"id":"W1964745697","doi":"10.4161/org.4.3.6504","title":"Blood pressure follows the kidney","year":2008,"lang":"en","type":"article","venue":"Organogenesis","topic":"Birth, Development, and Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fetal programming; Blood pressure; Medicine; Epidemiology; Kidney; Bioinformatics; Kidney development; Intensive care medicine; Fetus; Pregnancy; Biology; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006166752,0.0003229715,0.0006377778,0.0004817627,0.0005526917,0.001503103,0.0002993916,0.001011054,0.003356757],"category_scores_gemma":[0.00153136,0.0002544083,0.0002947508,0.0003391385,0.001805774,0.001227935,0.0009040629,0.003291567,0.001743073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009264382,"about_ca_system_score_gemma":0.001251082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002617161,"about_ca_topic_score_gemma":0.002286465,"domain_scores_codex":[0.9995348,0.00009776308,0.00002931357,0.0001328612,0.0001428509,0.00006236439],"domain_scores_gemma":[0.9992662,0.0001774696,0.0001324269,0.00006714503,0.0002148479,0.0001418029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009704067,0.0002119808,0.02824754,0.00156676,0.0002385499,0.002778719,0.001456644,0.0009074124,0.09615242,0.3899566,0.04150701,0.436006],"study_design_scores_gemma":[0.0001074818,0.001399311,0.1330541,0.001007371,0.0002761218,0.00848313,0.00113581,0.001447386,0.0357363,0.1958848,0.6213089,0.0001593608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1237521,0.5331962,0.06099738,0.1092407,0.009968693,0.0001417575,0.001307305,0.001235632,0.1601602],"genre_scores_gemma":[0.6332277,0.2583194,0.01605579,0.01851067,0.005932873,0.00009964423,0.0002657907,0.0002362323,0.06735187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003356757,"threshold_uncertainty_score":0.01122946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207350180925314,"score_gpt":0.2528393020560842,"score_spread":0.2307658002468311,"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."}}