{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002449171,0.00007932435,0.0002285086,0.00008577445,0.00005374292,0.00006981074,0.0001305519,0.00006557017,0.00001620537],"category_scores_gemma":[0.00009221943,0.00004875915,0.00005120451,0.0001892691,0.00003672029,0.0001134711,0.00003348327,0.00009550312,0.00003637177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000645144,"about_ca_system_score_gemma":0.00001499293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002993506,"about_ca_topic_score_gemma":0.0006503777,"domain_scores_codex":[0.9993141,0.0000126145,0.0003146439,0.0001871227,0.00002636377,0.0001451042],"domain_scores_gemma":[0.9995763,0.0001262796,0.00007435403,0.0001755262,0.000006914906,0.000040588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008477324,0.0002442965,0.6539672,0.00326637,0.0004434922,0.000055236,0.005621986,0.0000947751,0.0001375621,0.2240598,0.002671944,0.1093525],"study_design_scores_gemma":[0.0009442857,0.0004743893,0.7900371,0.0007403473,0.00001229243,0.000001929436,0.0001229989,0.00849537,0.001263503,0.01911939,0.1781677,0.0006206927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834374,0.01072729,0.0001462299,0.0002190315,0.0009990118,0.0002267256,0.00008960962,0.00001587019,0.004138864],"genre_scores_gemma":[0.9984459,0.0008844088,0.000004147145,0.00001725504,0.00006970382,0.00001239495,0.000005785042,0.00001036195,0.00055003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2049405,"threshold_uncertainty_score":0.4525306,"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."}}