{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.1287875,0.00115902,0.001106111,0.01324953,0.008492218,0.03385752,0.006785621,0.009422789,0.05457558],"category_scores_gemma":[0.2359701,0.002504136,0.001568138,0.01110141,0.01104785,0.06373972,0.03234326,0.008671943,0.05279923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005257325,"about_ca_system_score_gemma":0.01821876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711246,"about_ca_topic_score_gemma":0.003019046,"domain_scores_codex":[0.9167616,0.04007073,0.008158173,0.006094207,0.02577783,0.003137499],"domain_scores_gemma":[0.7448883,0.1190004,0.01874036,0.05604298,0.04232265,0.01900529],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007283324,0.0001474854,0.001963706,0.0006141997,0.00005707747,0.0001365256,0.008512219,0.0003336754,0.001548712,0.07570864,0.5848166,0.3260884],"study_design_scores_gemma":[0.00003223187,0.00004990847,0.0006410547,0.0003001227,0.000012963,0.00009139642,0.002187033,0.0004825704,0.0007342849,0.02381844,0.9715852,0.00006476918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008853485,0.009531741,0.3733802,0.3650275,0.03054524,0.002915685,0.002205553,0.03728792,0.1702527],"genre_scores_gemma":[0.09046795,0.0143926,0.5858344,0.05193895,0.01520721,0.007674883,0.008031129,0.01541554,0.2110374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9932144,"threshold_uncertainty_score":0.6811016,"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."}}