{"id":"W4231982709","doi":"10.1111/hdi.12638","title":"Corrigendum","year":2018,"lang":"en","type":"erratum","venue":"Hemodialysis International","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Citation; Medicine; Internal medicine; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002543424,0.001038698,0.001303547,0.002748398,0.002080645,0.003817374,0.001867577,0.004117345,0.1349497],"category_scores_gemma":[0.03952818,0.0004686259,0.0009740387,0.001527153,0.001088445,0.001425576,0.001862385,0.004855012,0.08350947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003219385,"about_ca_system_score_gemma":0.004032399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102737,"about_ca_topic_score_gemma":0.0164079,"domain_scores_codex":[0.9968075,0.0004853075,0.0003693307,0.0004817212,0.001574071,0.0002820461],"domain_scores_gemma":[0.9867095,0.002363228,0.0005556996,0.0009736922,0.008491677,0.0009061348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009795271,0.000003041949,0.0000267387,0.00004552833,0.000002055769,0.00008982146,0.000007188468,0.00001445044,0.00001208547,0.0004267819,0.9887565,0.01060606],"study_design_scores_gemma":[0.000007244046,0.000007692128,0.0001955921,0.0001385777,0.000009239387,0.0002071371,0.00002528064,0.00004701496,0.00009039092,0.0006886196,0.9985747,0.000008495033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001133988,0.0030496,0.0004471182,0.04783195,0.9236052,0.00003623711,0.0007046975,0.0002900218,0.02392183],"genre_scores_gemma":[0.005595602,0.01157247,0.002645924,0.08530228,0.2306916,0.0002281953,0.001928224,0.0008410912,0.6611946],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1349497,"threshold_uncertainty_score":0.4514518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410653085104194,"score_gpt":0.2624476291485678,"score_spread":0.2483410982975259,"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."}}