{"id":"W2596391634","doi":"10.1007/s10545-017-0035-5","title":"Common data elements for clinical research in mitochondrial disease: a National Institute for Neurological Disorders and Stroke project","year":2017,"lang":"en","type":"erratum","venue":"Journal of Inherited Metabolic Disease","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; McMaster University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Drug Abuse","keywords":"Medicine; Harmonization; Data sharing; Data collection; Clinical trial; Data quality; Medical education; Alternative medicine; Pathology; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.316427,0.001872941,0.003890591,0.01483869,0.005784608,0.01197779,0.009798245,0.005200115,0.01585606],"category_scores_gemma":[0.4122631,0.002870791,0.005306811,0.01996329,0.003309397,0.009397391,0.03005733,0.009310862,0.01189012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01271496,"about_ca_system_score_gemma":0.127203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01770579,"about_ca_topic_score_gemma":0.01761445,"domain_scores_codex":[0.7159832,0.134582,0.09521789,0.01460153,0.03473002,0.004885375],"domain_scores_gemma":[0.4483368,0.1713017,0.05161029,0.1109095,0.1783109,0.03953077],"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":[0.001786639,0.0007965744,0.02106835,0.01737938,0.001366826,0.0003584092,0.005892007,0.001976403,0.001512336,0.0392944,0.6504053,0.2581633],"study_design_scores_gemma":[0.001137925,0.0003916539,0.02863866,0.02910378,0.000903866,0.0003032956,0.001912873,0.001461765,0.002129341,0.01720977,0.9165328,0.0002741574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.016371,0.01036118,0.2411776,0.09341403,0.005234797,0.1196855,0.4494896,0.01140044,0.05286581],"genre_scores_gemma":[0.01714775,0.004369302,0.5602837,0.01212003,0.0005503382,0.09757934,0.2998321,0.001823686,0.006293856],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.316427,"threshold_uncertainty_score":0.8429673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.199016425240741,"score_gpt":0.4695866064218953,"score_spread":0.2705701811811543,"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."}}