{"id":"W6977525504","doi":"10.6084/m9.figshare.9751730.v1","title":"Supplementary Material for: Comparison of Different Selection Strategies for Tolvaptan Eligibility among Autosomal Dominant Polycystic Kidney Disease Patients","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autosomal dominant polycystic kidney disease; Tolvaptan; Renal function; Polycystic kidney; Observational study; Selection (genetic algorithm); Cohort; Polycystic kidney disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00160182,0.0008678838,0.0008838678,0.002103738,0.0008328783,0.001637975,0.001456102,0.001291534,0.7580779],"category_scores_gemma":[0.03243944,0.0005519894,0.001006296,0.00254188,0.0001890177,0.001048102,0.001000912,0.000831483,0.1480315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003876,"about_ca_system_score_gemma":0.001914316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009532628,"about_ca_topic_score_gemma":0.0127947,"domain_scores_codex":[0.9990688,0.000244316,0.0002160886,0.0002019703,0.0001640016,0.000104908],"domain_scores_gemma":[0.9794708,0.01465852,0.001400918,0.0009782253,0.002705538,0.0007860955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008031962,0.0001754062,0.008453463,0.001518209,0.00008854509,0.0001929502,0.00008976183,0.0003789187,0.000139816,0.0008822339,0.9437135,0.04356406],"study_design_scores_gemma":[0.005248576,0.0008301896,0.1397678,0.006854649,0.0004393334,0.003057637,0.001163475,0.005301357,0.001271193,0.01699081,0.8188078,0.0002670918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003304438,0.0002380741,0.002139912,0.00119445,0.0004521376,0.0004969679,0.9794493,0.001164617,0.01156003],"genre_scores_gemma":[0.04234454,0.001248493,0.02116486,0.004119868,0.0008041728,0.004569959,0.8741266,0.002099475,0.04952213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7580779,"threshold_uncertainty_score":0.3450724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044752524956314,"score_gpt":0.3176336137251251,"score_spread":0.277186088475562,"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."}}