{"id":"W6950154734","doi":"10.5281/zenodo.3387548","title":"D2.1: Draft Stakeholder Map & D2.7: Final Stakeholder Map","year":2017,"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":"","funders":"Advanced Scientific Computing Research; Syddansk Universitet; Teknologian Tutkimuskeskus VTT; International Livestock Research Institute; International Business Machines Corporation; European Commission; Institute for Information and Communications Technology Promotion; Institut Teknologi Bandung; Polar Knowledge Canada","keywords":"Deliverable; Scope (computer science); Stakeholder; Stakeholder analysis; Field (mathematics); Stakeholder engagement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008358296,0.0009774799,0.0006560882,0.007380448,0.003415687,0.006546161,0.001784928,0.003188993,0.1625129],"category_scores_gemma":[0.02782221,0.0008868965,0.001303509,0.00697316,0.00113929,0.005816374,0.004232429,0.002447933,0.06708153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005479295,"about_ca_system_score_gemma":0.01313709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04561721,"about_ca_topic_score_gemma":0.03084767,"domain_scores_codex":[0.9941755,0.001228697,0.0004683756,0.0003741348,0.003003596,0.0007496565],"domain_scores_gemma":[0.9753924,0.003856335,0.0005850905,0.001651136,0.01777367,0.0007413514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002225428,0.0001155729,0.002800181,0.001787698,0.00002720546,0.0002861328,0.005164071,0.002823255,0.002132676,0.06279638,0.8123214,0.1095228],"study_design_scores_gemma":[0.00003274569,0.000022579,0.002572338,0.00057122,0.00001245202,0.00007492633,0.003898084,0.0008226984,0.001364268,0.01220342,0.9783745,0.00005083451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01263603,0.0004613465,0.12124,0.0113694,0.001909709,0.01007698,0.2590022,0.004802376,0.5785019],"genre_scores_gemma":[0.07549952,0.001288242,0.3774863,0.003357392,0.0005366085,0.02286682,0.2648364,0.003726187,0.2504025],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1625129,"threshold_uncertainty_score":0.5436597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2815112957295474,"score_gpt":0.331258198362191,"score_spread":0.04974690263264359,"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."}}