{"id":"W3164503825","doi":"","title":"Reflections on the Successes and Challenges of Research Data Centers in Canada and the U.S.","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Public relations; Computer science","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1160245,0.0005480776,0.001012106,0.002790425,0.02411104,0.03744571,0.008310644,0.01521091,0.008840483],"category_scores_gemma":[0.1772424,0.001186795,0.001074884,0.00928067,0.02920174,0.01423865,0.01132337,0.02682102,0.0009829126],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1688282,"about_ca_system_score_gemma":0.4240534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657475,"about_ca_topic_score_gemma":0.979283,"domain_scores_codex":[0.9111174,0.02347038,0.004359527,0.004349681,0.0344766,0.02222637],"domain_scores_gemma":[0.6309258,0.1195004,0.01265467,0.006835108,0.1227233,0.1073608],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001785115,0.0001154841,0.01489463,0.0004537511,0.000086104,0.0004659291,0.01998946,0.001225661,0.0004078021,0.1499954,0.7664592,0.04572811],"study_design_scores_gemma":[0.0001226078,0.00009592397,0.0301885,0.001743345,0.00004794367,0.0001859302,0.09061526,0.0009561477,0.0005558411,0.03168165,0.8434672,0.000339676],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004331063,0.003301782,0.0002901953,0.9834139,0.0007537481,0.00002388454,0.0002380882,0.00003214104,0.007615254],"genre_scores_gemma":[0.2990817,0.01552159,0.006394098,0.6593444,0.002198261,0.0001550685,0.0005929528,0.0003475652,0.01636442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625543,"threshold_uncertainty_score":0.9640414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8564487430690108,"score_gpt":0.6947039409183844,"score_spread":0.1617448021506264,"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."}}