{"id":"W6968723892","doi":"10.5281/zenodo.4916261","title":"D4.1 Initial report on dataset integration","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":"Prairie Improvement Network","funders":"","keywords":"Metadata; Deliverable; Process (computing); Ontology; Presentation (obstetrics); Metadata modeling; Linked data; Conceptual model","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":[],"consensus_categories":[],"category_scores_codex":[0.02180718,0.00190297,0.00148339,0.006199127,0.001907398,0.009343082,0.004127979,0.002018237,0.1154629],"category_scores_gemma":[0.05669928,0.001394672,0.002459693,0.006108634,0.0006635291,0.008465116,0.01496602,0.00356695,0.1310587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003815904,"about_ca_system_score_gemma":0.01026916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503583,"about_ca_topic_score_gemma":0.01075433,"domain_scores_codex":[0.9808434,0.003823979,0.001631585,0.002196464,0.01030227,0.001202323],"domain_scores_gemma":[0.96905,0.00389581,0.0007578157,0.009556548,0.01505692,0.001682826],"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":[0.0004349147,0.0002550872,0.002168515,0.002129801,0.000106209,0.0003590736,0.001304153,0.001596567,0.008587538,0.01155649,0.7538762,0.2176255],"study_design_scores_gemma":[0.00005593019,0.0001104171,0.001825575,0.00048556,0.00002796468,0.000127105,0.0003725037,0.0005544524,0.005542053,0.002298551,0.9885434,0.00005648278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01119335,0.002893715,0.1724395,0.007392944,0.004141796,0.007271088,0.5058882,0.06749182,0.2212876],"genre_scores_gemma":[0.009919823,0.001671467,0.1399288,0.001239922,0.000331515,0.005636677,0.7350765,0.01902195,0.08717323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1154629,"threshold_uncertainty_score":0.3862617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592400851017964,"score_gpt":0.3425902728361607,"score_spread":0.1833501877343643,"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."}}