{"id":"W4292735752","doi":"10.5281/zenodo.6111560","title":"Research Data Canada's 2013 Infrastructure Report","year":2013,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Laval","keywords":"Data science; Computer science; Business","routes":{"ca_aff":false,"ca_fund":true,"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":[0.02460124,0.001500476,0.001505323,0.01485719,0.01075368,0.01919081,0.005677206,0.003724922,0.0383593],"category_scores_gemma":[0.05842223,0.002198391,0.002020855,0.0263755,0.002232823,0.004086234,0.005250865,0.005683269,0.02415921],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.177094,"about_ca_system_score_gemma":0.5701597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891072,"about_ca_topic_score_gemma":0.9852556,"domain_scores_codex":[0.9320377,0.001914069,0.001862767,0.00197912,0.05659672,0.005609702],"domain_scores_gemma":[0.8799668,0.004526679,0.001978763,0.003726066,0.09968607,0.0101157],"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":[0.00003813615,0.00002821974,0.001167006,0.000217616,0.00001821864,0.00006364914,0.0001554586,0.0002889878,0.0001759485,0.01422749,0.9707502,0.01286907],"study_design_scores_gemma":[0.00001194608,0.000007472955,0.003191416,0.0001396497,0.00001224118,0.000016757,0.0002053035,0.0001575258,0.0003022634,0.0004778517,0.9954388,0.00003889689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002549263,0.004620616,0.005771371,0.0370011,0.004264941,0.002146891,0.6230921,0.006006647,0.3145471],"genre_scores_gemma":[0.01620801,0.009286298,0.02601419,0.01179322,0.0005490028,0.001914639,0.5539854,0.001994619,0.3782548],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9943228,"threshold_uncertainty_score":0.9544544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3393149948349254,"score_gpt":0.4226062867898235,"score_spread":0.0832912919548981,"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."}}