{"id":"W6943400956","doi":"10.15497/rda00073","title":"Recommendations for a minimal metadata set to aid harmonised discovery of learning resources","year":2022,"lang":"en","type":"other","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Metadata; Meta Data Services; Set (abstract data type); Metadata repository; Data element; Resource (disambiguation); Metadata modeling; Geospatial metadata","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001474598,0.0006654766,0.0009903489,0.0006635146,0.0005797819,0.0004463673,0.003371918,0.0001307083,0.0005362247],"category_scores_gemma":[0.00008386533,0.00065654,0.0001340205,0.0006489237,0.0001296213,0.000738021,0.004735002,0.0006344249,0.00003392938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004737786,"about_ca_system_score_gemma":0.00007373503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411512,"about_ca_topic_score_gemma":0.008129877,"domain_scores_codex":[0.9956998,0.0007608253,0.0007182331,0.00157333,0.0004926969,0.0007551709],"domain_scores_gemma":[0.9954202,0.001008258,0.0009220587,0.002395645,0.00002449146,0.0002293456],"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":[0.001123993,0.0001899513,0.004481278,0.001978942,0.001509925,0.00001052689,0.008993191,0.001065487,0.0009492444,0.0001249192,0.9740818,0.005490729],"study_design_scores_gemma":[0.000812398,0.0001879835,0.0004488472,0.00108999,0.0005837053,0.000008513802,0.004413362,0.01668136,0.000007985891,0.0000484111,0.9750296,0.0006877966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05021231,0.008919208,0.01439681,0.002648832,0.001842296,0.008237336,0.7991017,0.002465029,0.1121765],"genre_scores_gemma":[0.01691963,0.001681122,0.05760676,0.0007980468,0.002503453,0.0009294921,0.5418119,0.004743067,0.3730066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.26083,"threshold_uncertainty_score":0.9995886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000051890620258,"score_gpt":0.2998866113152562,"score_spread":0.2498860924090536,"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."}}