{"id":"W6889248012","doi":"10.25493/gcfg-2mw","title":"Metadata Schema of the Common Data Elements for Dementia (v3)","year":2020,"lang":"en","type":"dataset","venue":"EBRAINS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Informatics; Schema (genetic algorithms); Dementia; Health informatics; Proxy (statistics); Data type; Hierarchy; The Internet; Variable (mathematics)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004557148,0.001270087,0.001026904,0.004489335,0.001354447,0.005753513,0.002220879,0.002709869,0.03791468],"category_scores_gemma":[0.01299692,0.001095269,0.001710349,0.004670462,0.001013467,0.005573526,0.005332357,0.002814611,0.02950011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026656,"about_ca_system_score_gemma":0.004576029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156759,"about_ca_topic_score_gemma":0.009043463,"domain_scores_codex":[0.9962585,0.0006546538,0.001180798,0.0006216459,0.0009169664,0.0003675168],"domain_scores_gemma":[0.9913368,0.001697799,0.0005752831,0.00312372,0.002764911,0.0005015073],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001461879,0.000337533,0.01839853,0.003322994,0.0002269866,0.001557148,0.003465459,0.006206901,0.01862102,0.1725942,0.6156574,0.15815],"study_design_scores_gemma":[0.00005807747,0.00004775372,0.002099649,0.0004987745,0.00003348382,0.0004490861,0.0005064583,0.002150324,0.006188487,0.0171618,0.9707262,0.00007983657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007418721,0.001122252,0.2867314,0.002094138,0.000971265,0.002533776,0.6274174,0.03889013,0.03282092],"genre_scores_gemma":[0.04366989,0.001294404,0.1320885,0.002477611,0.0002355455,0.002461914,0.7941376,0.008505908,0.01512874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9954429,"threshold_uncertainty_score":0.1268373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271981147645877,"score_gpt":0.3594130010947644,"score_spread":0.2322148863301767,"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."}}