{"id":"W4298848914","doi":"10.5281/zenodo.4599496","title":"Portage: Supporting Canadian innovation through shared expertise and stewardship of research data","year":2014,"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":"","funders":"","keywords":"Stewardship (theology); Knowledge management; Research data; Business; Data science; Computer science; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.02147016,0.0002979984,0.0004309366,0.002030143,0.002436423,0.01066289,0.01190396,0.0002319842,0.00152477],"category_scores_gemma":[0.02714668,0.0003223396,0.00003834548,0.003395798,0.0004319625,0.01644313,0.01839207,0.001249107,0.0005419218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006596596,"about_ca_system_score_gemma":0.000344487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02376357,"about_ca_topic_score_gemma":0.0004574553,"domain_scores_codex":[0.9913499,0.001551232,0.001023271,0.001713737,0.003252687,0.00110919],"domain_scores_gemma":[0.9882889,0.0002128598,0.000817696,0.004688845,0.005607722,0.0003839949],"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":[0.000022734,0.00009418037,0.00002540402,0.001025464,0.0001435178,0.000141243,0.0009781655,0.000004362414,0.0003075052,0.04991175,0.8222688,0.1250768],"study_design_scores_gemma":[0.0002461351,0.0002002794,0.0005411068,0.0002212345,0.00001585152,0.00009946916,0.0002662694,0.0009456668,0.00008073327,0.0003742138,0.9967182,0.0002908864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002122157,0.001131128,0.1230446,0.01062173,0.0009272072,0.003887816,0.004737748,0.001379811,0.8521478],"genre_scores_gemma":[0.7586024,0.01636316,0.02532916,0.0008260033,0.002476058,0.000002193656,0.1486033,0.007834073,0.03996359],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8121842,"threshold_uncertainty_score":0.9999229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3417072647630264,"score_gpt":0.4137494251418604,"score_spread":0.07204216037883393,"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."}}