{"id":"W6912754011","doi":"10.5281/zenodo.4581289","title":"MS14 Inventory of existing (meta-)data format interoperability solutions","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Metadata; Interoperability; Milestone; Scope (computer science); Desk; Process (computing); Service (business); Data conversion","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":[0.08509433,0.002511178,0.001704512,0.03216094,0.006208331,0.02149812,0.007129383,0.002949484,0.04026753],"category_scores_gemma":[0.06486418,0.002666271,0.00355695,0.02507109,0.00233746,0.01959055,0.01812526,0.00552943,0.02722179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01726247,"about_ca_system_score_gemma":0.05705872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02753699,"about_ca_topic_score_gemma":0.0186769,"domain_scores_codex":[0.9205201,0.01332258,0.007491308,0.004865909,0.04826697,0.005533018],"domain_scores_gemma":[0.8607275,0.01418903,0.005886303,0.02265028,0.08878391,0.00776289],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005964328,0.001174164,0.01230324,0.004007773,0.0002216715,0.0003076213,0.006239297,0.005667311,0.008166997,0.07832762,0.2382177,0.6447701],"study_design_scores_gemma":[0.00009610328,0.0004454867,0.004570185,0.00232282,0.0001212283,0.0001915917,0.004394574,0.003171394,0.01226693,0.009006265,0.9632205,0.0001930243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.08203962,0.008456375,0.3051923,0.02158668,0.001988942,0.01398184,0.1070944,0.03236718,0.4272925],"genre_scores_gemma":[0.07140638,0.004759961,0.5803914,0.001850556,0.0003913203,0.009193609,0.2449996,0.009790728,0.07721636],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9149057,"threshold_uncertainty_score":0.4500272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5380977066811651,"score_gpt":0.3586989802648077,"score_spread":0.1793987264163574,"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."}}