{"id":"W4323565379","doi":"10.5281/zenodo.7709062","title":"Summary Report: Canadian Research Data Repositories and the Re3data Repository Registry","year":2023,"lang":"en","type":"report","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":"McGill University; University of Calgary; National Research Council Canada; Cape Breton University; University of New Brunswick; University of Toronto","funders":"","keywords":"Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.03810199,0.0003973611,0.0005005608,0.001296246,0.01000134,0.04002265,0.02591923,0.0003125175,0.0001555532],"category_scores_gemma":[0.04539744,0.0003429909,0.00008020284,0.002690708,0.001600817,0.01353875,0.0513521,0.002592325,0.00105226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046501,"about_ca_system_score_gemma":0.0005892592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0718376,"about_ca_topic_score_gemma":0.001124728,"domain_scores_codex":[0.9864632,0.003901596,0.001024304,0.002803131,0.004469074,0.001338689],"domain_scores_gemma":[0.9786133,0.0008834958,0.0007966462,0.01499142,0.003945604,0.0007695722],"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":[0.00004442836,0.00003192693,0.000005446037,0.0003103298,0.0002088525,0.003531268,0.0002820519,0.000001781479,0.00002084407,0.01858871,0.9624267,0.01454766],"study_design_scores_gemma":[0.0003399641,0.00007821515,0.0002536766,0.0002327686,0.00004416982,0.003744034,0.0004128961,0.0004529405,0.0000128615,0.00036567,0.9937182,0.0003445777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006162661,0.002715943,0.004928309,0.02224637,0.002475253,0.002591519,0.002149083,0.001973327,0.9608586],"genre_scores_gemma":[0.01249917,0.07728812,0.003939772,0.0004073847,0.007356525,0.000004353093,0.1092319,0.008812598,0.7804602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1803984,"threshold_uncertainty_score":0.9999022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2702616308031406,"score_gpt":0.3769548027558317,"score_spread":0.1066931719526911,"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."}}