{"id":"W6996165366","doi":"","title":"Report on Research Data Management Faculty & Postdoctoral Survey, University of Toronto","year":2015,"lang":"en","type":"other","venue":"TSpace (University of Toronto)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data management; The arts; Research data; Science and engineering; Statistical analysis","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":[0.008840797,0.0004436315,0.0004811697,0.005502235,0.005040522,0.00540458,0.001218444,0.0007106189,0.03356062],"category_scores_gemma":[0.03742408,0.0007837714,0.0003365225,0.01852464,0.001104704,0.00174348,0.003126207,0.000822785,0.009638941],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03743771,"about_ca_system_score_gemma":0.09309938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8674818,"about_ca_topic_score_gemma":0.9076117,"domain_scores_codex":[0.9846814,0.001421357,0.001584596,0.001012067,0.00924626,0.002054313],"domain_scores_gemma":[0.9357344,0.007330807,0.0058903,0.002821933,0.03463137,0.01359115],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001636218,0.0001375093,0.2328591,0.001126795,0.00004343069,0.0001851251,0.009330058,0.000259334,0.0008084026,0.002304386,0.693482,0.05930014],"study_design_scores_gemma":[0.00001712896,0.00005763249,0.6251655,0.0002102478,0.00002002746,0.00005538193,0.01698251,0.0001576024,0.0006171752,0.00009648699,0.3565782,0.00004217943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2607858,0.004658454,0.001899734,0.02814995,0.000748874,0.003197662,0.4828027,0.001476752,0.2162801],"genre_scores_gemma":[0.4781364,0.008342399,0.006270653,0.005004159,0.0003632077,0.003455696,0.1589342,0.0002837506,0.3392096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9987816,"threshold_uncertainty_score":0.2716309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2178036250090348,"score_gpt":0.3930739778138953,"score_spread":0.1752703528048605,"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."}}