{"id":"W123136872","doi":"","title":"[Socioeconomic aspects of dialysis treatment].","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dialysis; Lira; Euros; Medicine; Medical prescription; Quarter (Canadian coin); Socioeconomic status; Intensive care medicine; Internal medicine; Environmental health; Economics; Pharmacology; Geography; Monetary economics","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":[0.0005941726,0.0001480729,0.0001925674,0.0005948528,0.0007840205,0.0008368607,0.0002590631,0.0005740244,0.02528717],"category_scores_gemma":[0.003619975,0.00006320352,0.0002848963,0.001359129,0.0001898787,0.0007544506,0.0009934098,0.0009482403,0.002802615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222202,"about_ca_system_score_gemma":0.002022434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01779342,"about_ca_topic_score_gemma":0.02588965,"domain_scores_codex":[0.9993147,0.0002131761,0.00005063178,0.00003956459,0.0002063537,0.0001756134],"domain_scores_gemma":[0.9991789,0.00006345996,0.0002014195,0.00003797094,0.0002484707,0.0002697459],"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":[0.0001404551,0.0002013489,0.1430806,0.0006586924,0.0001463509,0.0006292612,0.001590844,0.0001754352,0.0001688779,0.04131436,0.5309563,0.2809376],"study_design_scores_gemma":[0.00002922223,0.00006732092,0.4133424,0.0005744965,0.00003852706,0.0008417223,0.001095983,0.0001564303,0.00004488866,0.00625386,0.5775297,0.00002546168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08459927,0.03594793,0.0009991112,0.1558305,0.00348613,0.0003278402,0.04692855,0.0000991468,0.6717815],"genre_scores_gemma":[0.7579671,0.04352103,0.002056874,0.03735852,0.002931191,0.000710893,0.02869365,0.0000561949,0.1267046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02528717,"threshold_uncertainty_score":0.08459407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05486541345408655,"score_gpt":0.3645014397538048,"score_spread":0.3096360262997182,"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."}}