{"id":"W2582336877","doi":"10.1177/1753495x16686276","title":"Composition of human breast milk in acute kidney injury","year":2017,"lang":"en","type":"article","venue":"Obstetric Medicine","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Medicine; Breast milk; Acute kidney injury; Breastfeeding; Kidney; Kidney disease; Composition (language); Magnetic resonance imaging; Iodinated contrast; Affect (linguistics); Computed tomography; Internal medicine; Physiology; Radiology; Pathology; Biochemistry","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":[0.0003168861,0.0002260263,0.0002066391,0.001040201,0.000225183,0.0005537896,0.0002057634,0.0003934827,0.0008532599],"category_scores_gemma":[0.0008341161,0.00008987565,0.0001386104,0.0005414207,0.0002929924,0.000261913,0.0002788031,0.0002586756,0.0001699735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910072,"about_ca_system_score_gemma":0.0002676489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005306772,"about_ca_topic_score_gemma":0.0002696963,"domain_scores_codex":[0.9997633,0.00007182251,0.00002385313,0.00002845021,0.00007356396,0.00003909226],"domain_scores_gemma":[0.9995937,0.00008546552,0.0002044785,0.00001455651,0.00006279808,0.00003905552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003695473,0.0001955821,0.4711533,0.000892445,0.0001598929,0.00867902,0.0009148403,0.0002628518,0.4419113,0.0005404568,0.0004009082,0.07119396],"study_design_scores_gemma":[0.00003372532,0.00173017,0.4990878,0.0002882291,0.0003868595,0.04843518,0.001813794,0.001376843,0.4305014,0.001323102,0.01497996,0.00004293298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870195,0.01056876,0.0007811924,0.0002154438,0.00002352547,0.00001466777,0.0001086581,0.00002866342,0.001239625],"genre_scores_gemma":[0.9952656,0.003149635,0.001015772,0.0001018813,0.00002007306,0.000007728691,0.00008077026,0.000007452264,0.0003512032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001040201,"threshold_uncertainty_score":0.002854466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668705353949289,"score_gpt":0.3745219476245535,"score_spread":0.3378348940850607,"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."}}