{"id":"W6892888328","doi":"10.5281/zenodo.12819558","title":"D5.1 Report on data management recommendations and guidelines","year":2023,"lang":"en","type":"article","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":"Prairie Improvement Network","funders":"European Commission","keywords":"Deliverable; Data management; Competence (human resources); Metadata; Interoperability; Work (physics); Identifier; Data integrity; Data governance; Procurement","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.105382,0.002150274,0.002109203,0.01637639,0.004485775,0.02250771,0.01391651,0.01621457,0.1009514],"category_scores_gemma":[0.1845461,0.003236309,0.003684279,0.01531305,0.002866367,0.01563161,0.01157195,0.01120634,0.171545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01810988,"about_ca_system_score_gemma":0.05521528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09705924,"about_ca_topic_score_gemma":0.05417208,"domain_scores_codex":[0.9121213,0.02343162,0.01330531,0.003924116,0.04230418,0.004913528],"domain_scores_gemma":[0.8117401,0.03611067,0.008411447,0.01923254,0.1165837,0.007921519],"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":[0.00006073211,0.0001614622,0.0005949922,0.001413065,0.00002000192,0.000181614,0.0008820968,0.0007897716,0.0007449297,0.02564775,0.8935313,0.07597226],"study_design_scores_gemma":[0.00002056325,0.00002063431,0.0003537137,0.001396716,0.000009302696,0.00003980467,0.0003224899,0.0001428468,0.000267114,0.002480754,0.9949096,0.00003654898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002036054,0.006880639,0.1257071,0.1051069,0.01062117,0.01809669,0.1227835,0.01998304,0.588785],"genre_scores_gemma":[0.0064725,0.01228258,0.2956935,0.03756967,0.001984837,0.02105807,0.2590463,0.007615817,0.3582766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.894618,"threshold_uncertainty_score":0.55732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2969381931170733,"score_gpt":0.3969376158886675,"score_spread":0.09999942277159429,"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."}}