{"id":"W4307730286","doi":"10.1007/s12325-022-02353-5","title":"Projecting the Epidemiological and Economic Impact of Chronic Kidney Disease Using Patient-Level Microsimulation Modelling: Rationale and Methods of Inside CKD","year":2022,"lang":"en","type":"article","venue":"Advances in Therapy","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"AstraZeneca","keywords":"Medicine; Microsimulation; Epidemiology; Kidney disease; Rheumatology; Intensive care medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.000402517,0.00008945054,0.0002383382,0.00005887321,0.00007838177,0.000003401285,0.00003687052,0.00001797281,0.00004509045],"category_scores_gemma":[0.0001649423,0.00005989016,0.00006565808,0.00007403491,0.0001105827,0.0001190002,0.00004188537,0.00008988966,3.584137e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160941,"about_ca_system_score_gemma":0.0005201327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004332,"about_ca_topic_score_gemma":0.000001934185,"domain_scores_codex":[0.9991511,0.0002130703,0.000288683,0.0001688678,0.00006425197,0.0001140368],"domain_scores_gemma":[0.9991027,0.0004957027,0.0001796215,0.0001217,0.00002019323,0.00008011513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009837811,0.0001450762,0.253852,0.000110321,0.00006772723,0.000001160058,0.0007710176,0.6880383,0.01262512,0.0002404942,0.00001348103,0.04315144],"study_design_scores_gemma":[0.002574678,0.0006189467,0.02779598,0.00008355665,0.00004109946,0.000005351025,0.0002251454,0.9587858,0.002043072,0.006953263,0.0007578766,0.0001152699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609091,0.03642401,0.001983067,0.00009332457,0.00003674926,0.0004472232,0.00008743029,0.000004868294,0.00001424894],"genre_scores_gemma":[0.9930612,0.002475012,0.004169683,0.0001919494,0.00003147484,0.00002828868,0.00003204301,0.00000805194,0.000002250732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707474,"threshold_uncertainty_score":0.244225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07483301571167904,"score_gpt":0.4065044079209575,"score_spread":0.3316713922092785,"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."}}