{"id":"W2394959588","doi":"10.5281/zenodo.3781725","title":"Building Partnerships Between Social Science Data Archives and Institutional Repositories","year":2010,"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":"Canadian Institute for Public Safety Research and Treatment","funders":"","keywords":"World Wide Web; Citizen science; Business; Data science; Internet privacy; Public relations; Computer science; Library science; Political science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.09264632,0.0007438287,0.0007096708,0.006938408,0.01123129,0.02903716,0.005253611,0.004653608,0.02040419],"category_scores_gemma":[0.098659,0.001813515,0.00109731,0.00798256,0.009386012,0.04898577,0.06983431,0.007171577,0.006581951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008795273,"about_ca_system_score_gemma":0.05221173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006359821,"about_ca_topic_score_gemma":0.007893422,"domain_scores_codex":[0.9195983,0.05237396,0.004074539,0.004710637,0.01263677,0.006605847],"domain_scores_gemma":[0.8626877,0.04842812,0.008072662,0.03027845,0.02170695,0.02882613],"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":[0.0002085315,0.0005026649,0.01507288,0.0006259985,0.0001643798,0.001026767,0.05925082,0.003329241,0.001813922,0.6008229,0.07901716,0.2381648],"study_design_scores_gemma":[0.0001437891,0.0002152541,0.002365433,0.0008453981,0.00004551141,0.0003702715,0.0482407,0.004625546,0.00161824,0.2576542,0.6837751,0.0001006268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.102947,0.00737245,0.4493876,0.1529012,0.002458702,0.002969828,0.001154817,0.005926755,0.2748816],"genre_scores_gemma":[0.5884347,0.004014159,0.314596,0.007627062,0.0008874769,0.002925136,0.002033826,0.001418636,0.07806292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9709628,"threshold_uncertainty_score":0.4899664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1749050413280479,"score_gpt":0.3446773833275336,"score_spread":0.1697723419994857,"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."}}