{"id":"W6912738071","doi":"10.5281/zenodo.3777043","title":"The Evolving Best Practices of DDI in Canada","year":2015,"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":"Statistics Canada; Carleton University","funders":"","keywords":"Best practice; Interoperability; Documentation; General partnership; Microdata (statistics); Data sharing; State (computer science); Data governance; Data access","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1761916,0.000980338,0.001980504,0.02581075,0.01984881,0.04446868,0.01988615,0.004684025,0.005033039],"category_scores_gemma":[0.1969117,0.002312449,0.002262359,0.05862493,0.0190879,0.01404431,0.02193605,0.007685342,0.002351005],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2839148,"about_ca_system_score_gemma":0.5014663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703923,"about_ca_topic_score_gemma":0.9501277,"domain_scores_codex":[0.7973166,0.029552,0.02699004,0.01707828,0.1157657,0.01329741],"domain_scores_gemma":[0.6170907,0.04451852,0.01038888,0.04952859,0.2564788,0.02199455],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000142619,0.0001704721,0.01715752,0.002160406,0.0001485073,0.0007144992,0.0266584,0.003999145,0.00258035,0.2605118,0.1331164,0.5526399],"study_design_scores_gemma":[0.00002169602,0.00003901851,0.011018,0.003229808,0.00005561675,0.0002572823,0.01309044,0.002263305,0.003119148,0.02309538,0.9434835,0.0003269261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.03999496,0.05588022,0.159692,0.4782702,0.003932217,0.002090448,0.009752982,0.005614393,0.2447725],"genre_scores_gemma":[0.2449121,0.0646022,0.5418351,0.039676,0.0005993436,0.001367938,0.01527854,0.004423218,0.08730557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8238084,"threshold_uncertainty_score":0.9318016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472489927453513,"score_gpt":0.3199679799214059,"score_spread":0.1727189871760546,"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."}}