{"id":"W2518539075","doi":"10.1186/s12882-016-0335-2","title":"International Network of Chronic Kidney Disease cohort studies (iNET-CKD): a global network of chronic kidney disease cohorts","year":2016,"lang":"en","type":"article","venue":"BMC Nephrology","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Medicine; Kidney disease; Cohort; Cohort study; Nephrology; Prospective cohort study; Epidemiology; Public health; Internal medicine; Intensive care medicine; Family medicine; Gerontology; Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004451605,0.0005156783,0.001261627,0.00008056934,0.0001032899,0.00001081053,0.0004434643,0.0001917328,0.001992927],"category_scores_gemma":[0.001906837,0.0003887169,0.0005422763,0.0004393665,0.001058053,0.0001623916,0.0004564165,0.0001638536,0.00008058138],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212378,"about_ca_system_score_gemma":0.007225598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003740891,"about_ca_topic_score_gemma":0.00005185238,"domain_scores_codex":[0.9961392,0.0002029823,0.001053117,0.0008612223,0.0006575145,0.001085923],"domain_scores_gemma":[0.9952964,0.0003339246,0.000532629,0.001067772,0.0004938755,0.002275364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002859603,0.0005946734,0.7160836,0.0008577941,0.002169155,0.0001020024,0.00001260757,0.000414766,0.0002915155,0.00277263,0.2719546,0.001887038],"study_design_scores_gemma":[0.01238714,0.00113895,0.7480048,0.002265082,0.003861115,0.00002471221,0.00001177102,0.002651822,0.00007381956,0.006272325,0.2226792,0.0006292774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479198,0.1073712,0.002214345,0.02197275,0.007494591,0.004943214,0.003654632,0.0005131722,0.00391626],"genre_scores_gemma":[0.9835447,0.00379822,0.000281779,0.005162286,0.005608974,0.0002768322,0.0006028666,0.00006393554,0.0006603875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1356249,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417576373168919,"score_gpt":0.2847367261974187,"score_spread":0.2705609624657295,"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."}}