{"id":"W9837029","doi":"10.5703/1288284315047","title":"Data Curation Profiles Symposium Opening Remarks and Keynote Address","year":2012,"lang":"en","type":"report","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Data curation; Digital curation; Library science; Meaning (existential); Computer science; Research data; World Wide Web; Data science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04615009,0.001776771,0.001370031,0.005035514,0.01137821,0.02265625,0.003741316,0.008344908,0.1638016],"category_scores_gemma":[0.05090527,0.001847628,0.002032132,0.007252708,0.00176954,0.009348005,0.01176568,0.01167126,0.1429896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009012278,"about_ca_system_score_gemma":0.02656932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02020722,"about_ca_topic_score_gemma":0.03608795,"domain_scores_codex":[0.9704942,0.004105753,0.001801882,0.002483648,0.01723371,0.003880834],"domain_scores_gemma":[0.9305757,0.008906806,0.001957051,0.004947088,0.03300601,0.02060731],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001944633,0.00001736365,0.00004802674,0.00002962871,6.825376e-7,0.00002584644,0.000086516,0.000006380273,0.00007820239,0.0005182275,0.9960536,0.003116096],"study_design_scores_gemma":[0.000005698968,0.00001004552,0.000235758,0.00004479672,8.921677e-7,0.0000133598,0.0002032369,0.000011578,0.0001098561,0.0002096284,0.9991465,0.000008743124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00192313,0.005008035,0.009807155,0.4854256,0.1911957,0.004215873,0.03161652,0.005801859,0.2650062],"genre_scores_gemma":[0.008388985,0.005661563,0.008940599,0.06709089,0.03819199,0.004879972,0.02399641,0.004567519,0.838282],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9538499,"threshold_uncertainty_score":0.547971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3320266302063098,"score_gpt":0.4366266967441355,"score_spread":0.1046000665378256,"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."}}