{"id":"W6959410129","doi":"10.6084/m9.figshare.c.7315066.v1","title":"Cost-benefit analysis of haemodialysis in patients with end-stage kidney disease in Abuja, Nigeria","year":2024,"lang":"en","type":"other","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; Public health; Health insurance; Primary care; Dialysis; National health insurance; Activity-based costing","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":[0.004639597,0.0006094411,0.001023772,0.001189138,0.0003928862,0.001445588,0.0006153806,0.0008399637,0.002648394],"category_scores_gemma":[0.01387313,0.0003803344,0.002269479,0.001085967,0.0004168893,0.0009970388,0.00106927,0.00117924,0.00006672957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005517604,"about_ca_system_score_gemma":0.003150365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239458,"about_ca_topic_score_gemma":0.0137529,"domain_scores_codex":[0.9955834,0.003449266,0.0002247792,0.0001561553,0.0002944672,0.0002920071],"domain_scores_gemma":[0.9943417,0.004154572,0.0007211062,0.00009085846,0.0003821153,0.0003096539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01711748,0.003180532,0.4339959,0.009481599,0.009387761,0.001875668,0.0007805189,0.3359317,0.001629898,0.01784787,0.004115504,0.1646554],"study_design_scores_gemma":[0.003064248,0.01310417,0.4442034,0.00942347,0.01424481,0.002350803,0.004219401,0.463476,0.002042464,0.03351827,0.01006017,0.0002927041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725097,0.01355153,0.004611635,0.003064187,0.0001669426,0.0008683163,0.001558182,0.00001640246,0.003653093],"genre_scores_gemma":[0.9967198,0.001427351,0.001288848,0.00008371037,0.00001489883,0.0001294526,0.0001714606,0.000001517853,0.0001630008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239458,"threshold_uncertainty_score":0.04003322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171601570411033,"score_gpt":0.2241965053554286,"score_spread":0.2024804896513183,"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."}}