{"id":"W6912667207","doi":"10.5281/zenodo.3596718","title":"DDI 4 Core: Describing and managing data for traditional and modern data platforms","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Interoperability; XML; Scope (computer science); Data management; Data model (GIS); Data system; Metadata; Core (optical fiber)","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":[0.05101318,0.001763756,0.001716571,0.006966484,0.002230535,0.01806803,0.007193503,0.003852352,0.01186583],"category_scores_gemma":[0.07794584,0.00260592,0.003147838,0.006755412,0.003438718,0.01583533,0.01127092,0.005707157,0.01161882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005585484,"about_ca_system_score_gemma":0.01316118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009610097,"about_ca_topic_score_gemma":0.006996583,"domain_scores_codex":[0.965225,0.008708366,0.007455941,0.002190465,0.0146778,0.001742546],"domain_scores_gemma":[0.9424317,0.01377654,0.002659179,0.01986926,0.01893972,0.002323647],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004921429,0.0002281452,0.004620101,0.003205993,0.0001977706,0.0004911636,0.003461423,0.009734946,0.01021732,0.3638144,0.2900439,0.3134927],"study_design_scores_gemma":[0.00005802937,0.00009122183,0.0009696526,0.001072318,0.0000471905,0.0004661535,0.0004415722,0.007832759,0.007016585,0.03290388,0.9489643,0.0001364712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003131206,0.001669219,0.9177442,0.004250076,0.001055684,0.00178201,0.01068615,0.02930875,0.03037272],"genre_scores_gemma":[0.02892343,0.003655917,0.8556945,0.004221726,0.0004796688,0.002509148,0.05994393,0.01521012,0.02936148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9489868,"threshold_uncertainty_score":0.2697867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8478209347699858,"score_gpt":0.4379830149435481,"score_spread":0.4098379198264377,"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."}}