{"id":"W4394961518","doi":"10.7759/cureus.58569","title":"The Effects of Distance, Time, and Nonspatial Factors on Hemodialysis Access in Qatar","year":2024,"lang":"en","type":"article","venue":"Cureus","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamad Medical Corporation","keywords":"Hemodialysis; Business; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001036136,0.0002329172,0.0001753497,0.000778708,0.0005491588,0.0006377732,0.000346969,0.0003227475,0.002829412],"category_scores_gemma":[0.003334859,0.0001388892,0.0005533327,0.001029665,0.0005106021,0.0005925219,0.0006560254,0.0004364991,0.0002045223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116459,"about_ca_system_score_gemma":0.001125704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.044356,"about_ca_topic_score_gemma":0.04863654,"domain_scores_codex":[0.9991519,0.0003254782,0.00007582343,0.000125969,0.0001145306,0.0002061214],"domain_scores_gemma":[0.9974096,0.0007982875,0.001081504,0.00006861406,0.0003186603,0.0003232636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001081879,0.00007444899,0.9924862,0.00003966037,0.00005686929,0.0001005987,0.0007879951,0.0003667665,0.0001948031,0.0001904204,0.0002226315,0.005371301],"study_design_scores_gemma":[0.000003902257,0.0001599418,0.996998,0.00002381439,0.00003239507,0.0001120643,0.001370786,0.0007992101,0.00004887141,0.0001064857,0.0003379162,0.000006559728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986589,0.00032932,0.0001451166,0.0001721198,0.00000535193,0.000007688604,0.0001504957,0.000002098394,0.0005289842],"genre_scores_gemma":[0.9996617,0.00008155467,0.000082866,0.00002315204,0.000004379679,0.000004168197,0.00006440766,7.307049e-7,0.00007701262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.044356,"threshold_uncertainty_score":0.08819562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722393641984387,"score_gpt":0.2546381213850002,"score_spread":0.2374141849651564,"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."}}