{"id":"W4300168616","doi":"10.5281/zenodo.4599369","title":"Portage: Supporting Canadian innovation through shared expertise and stewardship of research data","year":2015,"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; Business; Data science; Computer science; Political 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","open_science"],"consensus_categories":[],"category_scores_codex":[0.07483302,0.001763435,0.0009126168,0.01355151,0.01260048,0.01856536,0.007471731,0.003423781,0.02035022],"category_scores_gemma":[0.1500019,0.001345375,0.001481361,0.02056013,0.005653463,0.01399706,0.03344761,0.004907813,0.007861347],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05307932,"about_ca_system_score_gemma":0.3776945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9116219,"about_ca_topic_score_gemma":0.9192434,"domain_scores_codex":[0.9141133,0.01937855,0.003644433,0.005638594,0.04618149,0.01104363],"domain_scores_gemma":[0.7241855,0.04091163,0.008159835,0.05008326,0.1324296,0.04423005],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003988415,0.0002674989,0.01548607,0.001048164,0.0002198195,0.0006685753,0.0100089,0.002347614,0.004170982,0.1250519,0.5029481,0.3373836],"study_design_scores_gemma":[0.00007696338,0.0000594644,0.01030419,0.0004891854,0.00006692742,0.0002178269,0.004557916,0.003179939,0.002738135,0.01864481,0.9595126,0.0001521116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03531526,0.009066459,0.2073548,0.1593896,0.002424196,0.005096881,0.03150344,0.0272437,0.5226057],"genre_scores_gemma":[0.2318648,0.0123794,0.501673,0.01332916,0.0008424012,0.002448559,0.06133782,0.006541189,0.1695837],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9925283,"threshold_uncertainty_score":0.3957596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4385907539969311,"score_gpt":0.4312816904488433,"score_spread":0.007309063548087802,"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."}}