{"id":"W6920632173","doi":"10.6084/m9.figshare.11929590","title":"DataOne: Supporting Data Discovery and Access through Social and Technical Infrastructure.pdf","year":2020,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data discovery; Interoperability; General partnership; Data access; Data management; Outreach; Transparency (behavior); Usability; Open data; Data curation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01350241,0.00115174,0.0009564843,0.005731811,0.001995572,0.009572239,0.004865404,0.002573983,0.1452566],"category_scores_gemma":[0.04027333,0.001502093,0.001687752,0.006117726,0.002028078,0.01504394,0.02087075,0.003332869,0.07982074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172115,"about_ca_system_score_gemma":0.005346826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0059579,"about_ca_topic_score_gemma":0.009985314,"domain_scores_codex":[0.9938414,0.001369819,0.0006345743,0.0007051568,0.002954985,0.0004940231],"domain_scores_gemma":[0.9719917,0.01386169,0.0008286436,0.008285386,0.002369208,0.00266345],"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":[0.0001411521,0.00007744109,0.001353189,0.0008589521,0.00006346517,0.0003842193,0.001599418,0.0007555665,0.001544113,0.03181228,0.8199217,0.1414886],"study_design_scores_gemma":[0.00007107284,0.00001944369,0.000932686,0.0003252045,0.00001280691,0.000150898,0.0006459602,0.002478,0.001490268,0.0307104,0.9630896,0.00007360295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003699521,0.001615748,0.2849128,0.01772408,0.002274856,0.001573883,0.2432085,0.2441331,0.2008575],"genre_scores_gemma":[0.0546853,0.003818756,0.4153159,0.006243947,0.0008375847,0.003794922,0.342079,0.05623541,0.1169891],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9951346,"threshold_uncertainty_score":0.4859319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118741605154635,"score_gpt":0.4174842978045368,"score_spread":0.2987426926499017,"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."}}