{"id":"W4214497747","doi":"10.32920/ryerson.14638695.v1","title":"Institutional repository statistics: reliable, consistent approaches for Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Computer science; World Wide Web; Service (business); Task (project management); Value (mathematics); Data science; Business; Engineering","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":[0.1102257,0.001686604,0.002059793,0.03412462,0.01679769,0.04201357,0.01265373,0.005838909,0.03358542],"category_scores_gemma":[0.3144281,0.002175373,0.001955482,0.06175029,0.01157331,0.02122314,0.0160004,0.008736546,0.02022838],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1584145,"about_ca_system_score_gemma":0.5667723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9427558,"about_ca_topic_score_gemma":0.9301419,"domain_scores_codex":[0.8393598,0.03391723,0.01415624,0.009386005,0.0937658,0.009414886],"domain_scores_gemma":[0.4692365,0.05051235,0.01389648,0.042447,0.3960967,0.02781103],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004164877,0.00004147465,0.004873302,0.0005871764,0.00003780659,0.0001065164,0.002223652,0.00108128,0.0001845589,0.1036408,0.7544979,0.1326839],"study_design_scores_gemma":[0.00001672993,0.00001157982,0.005648685,0.001274105,0.00002677494,0.00006074478,0.002155457,0.001748306,0.0003532114,0.02283834,0.9657313,0.0001347511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003870596,0.007969518,0.2076629,0.393023,0.006127943,0.005277571,0.09171545,0.02546306,0.2588901],"genre_scores_gemma":[0.0850392,0.01419227,0.6719729,0.04051817,0.003068185,0.004850951,0.06617692,0.01059317,0.1035883],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9579864,"threshold_uncertainty_score":0.9761199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449742315599802,"score_gpt":0.3099551706411035,"score_spread":0.1649809390811233,"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."}}