{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.08052848,0.001630338,0.0008942134,0.008159621,0.01542987,0.02206442,0.007523309,0.009738914,0.04864192],"category_scores_gemma":[0.1355467,0.001787841,0.001818929,0.01093318,0.007164609,0.01343543,0.02064981,0.009628207,0.01324256],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08442435,"about_ca_system_score_gemma":0.5430481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523294,"about_ca_topic_score_gemma":0.9641252,"domain_scores_codex":[0.8939779,0.01281316,0.004011166,0.004657544,0.06444052,0.02009964],"domain_scores_gemma":[0.685454,0.03427033,0.007261288,0.03370051,0.1655985,0.07371545],"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":[0.0001184668,0.00008790008,0.002854214,0.000216915,0.0000478741,0.0001587968,0.001489126,0.0002737932,0.0006824272,0.02656969,0.9127551,0.05474566],"study_design_scores_gemma":[0.00004866321,0.00004020372,0.008112097,0.0002270054,0.00003152152,0.00007039848,0.001914684,0.0005562158,0.0008157166,0.003423303,0.984666,0.00009422181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01247194,0.007892328,0.03143319,0.5553874,0.009061065,0.003599954,0.02338487,0.01023315,0.3465361],"genre_scores_gemma":[0.1188713,0.01103335,0.1174121,0.06890026,0.00233209,0.002066354,0.03043398,0.004207423,0.6447431],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9924767,"threshold_uncertainty_score":0.6125444,"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."}}