{"id":"W6958502656","doi":"10.6084/m9.figshare.26170558.v1","title":"Additional file 1 of Cost-benefit analysis of haemodialysis in patients with end-stage kidney disease in Abuja, Nigeria","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Kidney disease; Hemodialysis; Disease; Dialysis; Population; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001014102,0.0005525592,0.0009999046,0.001284145,0.0003498268,0.000852708,0.001047839,0.0006845435,0.7188714],"category_scores_gemma":[0.01846628,0.0004241962,0.00143945,0.003030047,0.0001195077,0.0008619814,0.000478768,0.0008175694,0.02409342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194066,"about_ca_system_score_gemma":0.001713426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01698964,"about_ca_topic_score_gemma":0.02283824,"domain_scores_codex":[0.999432,0.0001714458,0.0001231291,0.00008894489,0.00008801754,0.00009649778],"domain_scores_gemma":[0.9918544,0.006374019,0.0007660356,0.0001943181,0.000606533,0.0002045618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003786153,0.0005035339,0.01904029,0.01502769,0.0008621617,0.0002647597,0.0001183575,0.0043045,0.0001084182,0.003107895,0.9181267,0.03474951],"study_design_scores_gemma":[0.05510142,0.002885017,0.3036272,0.02811594,0.004540935,0.002488927,0.00171963,0.02050504,0.001009847,0.02250115,0.557121,0.0003838599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001674065,0.0001009776,0.0001715228,0.0001881041,0.00003376208,0.0002103076,0.9957185,0.00004167661,0.001861079],"genre_scores_gemma":[0.1438402,0.001245425,0.00823164,0.001355744,0.0003032101,0.007845312,0.8103917,0.0003894363,0.0263973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7188714,"threshold_uncertainty_score":0.4009958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386701973482814,"score_gpt":0.2001163758595004,"score_spread":0.1862493561246722,"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."}}