{"id":"W4395087506","doi":"10.29173/iq1115","title":"Developing systems to encourage FAIR and secure research data","year":2024,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Internet privacy; Data 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.005215296,0.0001419274,0.0001483213,0.0005481353,0.000278076,0.01644958,0.004745322,0.00005014148,0.000004964764],"category_scores_gemma":[0.0002763805,0.0001232216,0.00001571082,0.001384752,0.00006649365,0.02256552,0.002038471,0.0004132522,0.0003903337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158443,"about_ca_system_score_gemma":0.0002564295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003814939,"about_ca_topic_score_gemma":0.0001785897,"domain_scores_codex":[0.9963923,0.0004729307,0.000261803,0.001183672,0.001095681,0.0005936555],"domain_scores_gemma":[0.996456,0.0007382272,0.00003056793,0.002423445,0.0001284232,0.000223356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006641931,0.00002613278,0.00006537046,0.0005488733,0.00008074206,0.0007193682,0.002632445,0.000003178394,0.0002687435,0.7729216,0.07757197,0.145155],"study_design_scores_gemma":[0.0001160651,0.0003602188,0.001781411,0.0004317583,0.000007722011,0.00006534307,0.00241701,0.05247492,0.00002078962,0.001869365,0.9401361,0.000319305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007394679,0.002125635,0.9500867,0.03351216,0.00102555,0.0006992057,0.00007634737,0.0004180428,0.004661724],"genre_scores_gemma":[0.9647072,0.0001828089,0.03094284,0.000168166,0.0003268245,0.0001060965,0.00005762702,0.00002811355,0.003480321],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9573125,"threshold_uncertainty_score":0.9911054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.340116453840185,"score_gpt":0.4746443402498752,"score_spread":0.1345278864096902,"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."}}