{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03546652,0.00117915,0.0008743589,0.01672277,0.004523905,0.01171392,0.006051112,0.004619884,0.02615444],"category_scores_gemma":[0.07089785,0.001872689,0.001534586,0.01105881,0.002603278,0.01780923,0.008199718,0.004682638,0.02254938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007634702,"about_ca_system_score_gemma":0.029918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03865957,"about_ca_topic_score_gemma":0.06323267,"domain_scores_codex":[0.9762142,0.006942294,0.005477882,0.001091918,0.008944402,0.001329294],"domain_scores_gemma":[0.8843331,0.01777372,0.005172855,0.01514693,0.06943653,0.008136762],"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":[0.0002156325,0.0007387525,0.004515778,0.001548159,0.00004062869,0.0005914198,0.002731445,0.00295357,0.01096065,0.1246861,0.5277482,0.3232695],"study_design_scores_gemma":[0.00009362969,0.00007474776,0.001954641,0.002316845,0.00004855337,0.0003183572,0.002340864,0.003037629,0.008161937,0.02104387,0.9604653,0.0001435704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01257925,0.002583449,0.5157806,0.07130509,0.003931967,0.01277518,0.02081832,0.01654509,0.343681],"genre_scores_gemma":[0.01518994,0.002114584,0.8696026,0.004832466,0.0002740652,0.003839765,0.02880046,0.002122265,0.07322389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9882861,"threshold_uncertainty_score":0.1875671,"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."}}