{"id":"W3037129975","doi":"","title":"Update for the Canadian Data Curation Forum","year":2019,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data curation; Computer science; Data science; World Wide Web; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005890645,0.0001822059,0.0002884975,0.0003432864,0.0005895475,0.00035835,0.007250865,0.00009996549,0.00009962033],"category_scores_gemma":[0.0001916836,0.0002097331,0.0001329663,0.0006285931,0.0003631851,0.03848238,0.002453493,0.0001607062,0.0001130665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145835,"about_ca_system_score_gemma":0.0005993303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02960587,"about_ca_topic_score_gemma":0.1799145,"domain_scores_codex":[0.9981104,0.00007407719,0.0001617462,0.0006825978,0.000501418,0.0004697642],"domain_scores_gemma":[0.9959891,0.0006169896,0.0003608605,0.002395182,0.0004352182,0.0002026733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008694233,0.0005836509,0.03391592,0.0006611983,0.001158541,0.0002676846,0.00234312,0.0002537198,0.0003173136,0.6483772,0.249054,0.06219816],"study_design_scores_gemma":[0.001290614,0.0001767194,0.004038973,0.00004941358,0.00007313071,0.000007565426,0.006060069,0.02834849,0.00001966037,0.0004863479,0.959164,0.000285043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1523345,0.000835242,0.6367952,0.1525268,0.001013355,0.004543701,0.006506564,0.0002451173,0.04519954],"genre_scores_gemma":[0.9691989,0.0009745127,0.01649321,0.0001939859,0.00002198312,1.681299e-7,0.0007989723,0.00001950949,0.01229871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8168645,"threshold_uncertainty_score":0.9981204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05754663638922223,"score_gpt":0.2504413096710723,"score_spread":0.1928946732818501,"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."}}