{"id":"W4299928665","doi":"10.17615/cjkh-0b25","title":"Data reuse and the open data citation advantage","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Research Data Management Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Citation; Reuse; Computer science; Data science; Information retrieval; World Wide Web; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.001362908,0.00007529817,0.0001026478,0.00003029579,0.0001976725,0.01656163,0.04776512,0.00001409108,0.00001882706],"category_scores_gemma":[0.008449443,0.00004864644,0.000004586235,0.0003791631,0.0001980716,0.1915689,0.1614927,0.0001295798,0.00002832467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002040715,"about_ca_system_score_gemma":0.00009129052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005394299,"about_ca_topic_score_gemma":0.0000142965,"domain_scores_codex":[0.9984589,0.0002747535,0.0001439009,0.0006553697,0.0003180125,0.0001490746],"domain_scores_gemma":[0.9899721,0.0009230153,0.00009404059,0.008913219,0.00001668713,0.00008091911],"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":[0.0000456384,0.000006789016,0.0001334598,0.0000153139,0.00002082572,0.000010626,0.0004086128,7.178579e-7,0.000005043272,0.8469728,0.1484705,0.003909669],"study_design_scores_gemma":[0.0007059865,0.00002779652,0.0003913043,0.000007265547,0.00001123031,0.000001400665,0.0003840759,0.06767806,0.00002979728,0.09310181,0.8375695,0.00009173979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0001243467,0.001027361,0.4532599,0.523891,0.0001247557,0.0008224907,0.0004668446,0.0001645143,0.02011879],"genre_scores_gemma":[0.009588469,0.000984011,0.9712547,0.01369995,0.0002126555,0.00002270244,0.002510698,0.00002008325,0.001706709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.753871,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4167537380984978,"score_gpt":0.4018557571099182,"score_spread":0.01489798098857958,"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."}}