{"id":"W6931159466","doi":"10.5281/zenodo.3780939","title":"Deepening collaborative relationships in providing Research Data Management support","year":2014,"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":"University of Guelph","funders":"","keywords":"General partnership; Work (physics); Government (linguistics); Christian ministry; Data management; Research data","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.1528894,0.0009797072,0.0007758925,0.007504001,0.01919843,0.02476584,0.006551733,0.004587253,0.007012705],"category_scores_gemma":[0.2384476,0.001718805,0.001029799,0.008192927,0.01157704,0.03542298,0.04255231,0.006356374,0.003703639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007587014,"about_ca_system_score_gemma":0.02934741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115876,"about_ca_topic_score_gemma":0.01302124,"domain_scores_codex":[0.7644094,0.1645015,0.01427985,0.01269891,0.03635908,0.007751274],"domain_scores_gemma":[0.6328968,0.1828605,0.0239197,0.08702324,0.04716128,0.02613854],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001726559,0.0005655424,0.02050178,0.001016206,0.0001476693,0.001426039,0.3319437,0.001362963,0.004754285,0.1034705,0.03365769,0.500981],"study_design_scores_gemma":[0.0001110636,0.0002793459,0.005999505,0.001488809,0.0001028101,0.001411479,0.1478863,0.004945826,0.00309496,0.12059,0.7138439,0.0002459225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1257867,0.003998262,0.6057299,0.09541257,0.001340122,0.002384517,0.000256857,0.005021557,0.1600695],"genre_scores_gemma":[0.5993158,0.002124976,0.3650783,0.004596491,0.0006506326,0.00128074,0.0005518105,0.001262794,0.02513847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9934483,"threshold_uncertainty_score":0.8085663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2328266450078214,"score_gpt":0.3584884884776297,"score_spread":0.1256618434698083,"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."}}