{"id":"W2414981328","doi":"10.1016/j.nephro.2016.01.007","title":"Retour en dialyse après échec de transplantation : comment améliorer les résultats dans cette population fragile ?","year":2016,"lang":"fr","type":"article","venue":"Néphrologie & Thérapeutique","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gynecology","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":[0.002835746,0.0002096997,0.0006258967,0.0003778377,0.0005098354,0.001454878,0.0004178699,0.0006833594,0.002139337],"category_scores_gemma":[0.005209657,0.00005510435,0.0005612107,0.0005181879,0.0005171002,0.001016728,0.0004155431,0.0006814181,0.0003450796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007890027,"about_ca_system_score_gemma":0.0009047566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003857294,"about_ca_topic_score_gemma":0.005952291,"domain_scores_codex":[0.9992712,0.0003334015,0.00007551364,0.00006003015,0.0001350297,0.0001247258],"domain_scores_gemma":[0.9970085,0.0006925116,0.001019007,0.0001459561,0.0006598596,0.0004740938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002571212,0.001042634,0.43185,0.001801208,0.000745743,0.002102958,0.002904658,0.0009090487,0.006403015,0.002478015,0.007389086,0.5398023],"study_design_scores_gemma":[0.0003318376,0.007258805,0.8765286,0.00173719,0.001118725,0.006782026,0.004430188,0.0005989593,0.003609102,0.003349247,0.09415702,0.00009842244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167716,0.1284945,0.001786721,0.04641536,0.0006404701,0.00005374566,0.0003454499,0.00007590123,0.005416182],"genre_scores_gemma":[0.9573929,0.03257307,0.001225443,0.00553455,0.001280027,0.00002884883,0.0002281159,0.00001927151,0.001717621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003857294,"threshold_uncertainty_score":0.01499707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926584635964668,"score_gpt":0.3230867842269742,"score_spread":0.2838209378673275,"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."}}