{"id":"W3210456224","doi":"10.5281/zenodo.400614","title":"Rediscovery Datasets: Connecting Duplicate Reports Of Apache, Eclipse, And Kde","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Eclipse; Computer science; Database; Astronomy; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009642568,0.0002470987,0.0004485069,0.000663651,0.003118224,0.004853326,0.003998492,0.0001228788,0.005459756],"category_scores_gemma":[0.02237969,0.0002220091,0.00008530689,0.0005956638,0.0004444832,0.0005732382,0.01038924,0.000405712,0.003550061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006040518,"about_ca_system_score_gemma":0.000009981109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153089,"about_ca_topic_score_gemma":0.000003741998,"domain_scores_codex":[0.9950104,0.0004818728,0.0009878833,0.001546995,0.001570797,0.0004020291],"domain_scores_gemma":[0.9926548,0.0002606577,0.001463681,0.004764182,0.0006302567,0.0002264318],"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":[0.00002216642,0.00006493469,0.000001417281,0.00007011196,0.00003794707,0.00006879376,0.00008355358,0.00002047382,0.00003251937,0.00005257688,0.9486864,0.0508591],"study_design_scores_gemma":[0.0001895506,0.00008269655,0.0001017187,0.00009404343,0.00004065675,0.0002274382,0.0002443097,0.0001351719,0.00001961245,0.0006047885,0.9980372,0.0002227687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000609957,0.00008625214,0.0005790321,0.0003167911,0.0008015524,0.0004056491,0.9849671,0.0001429963,0.01209067],"genre_scores_gemma":[0.001988855,0.0001165931,0.0001645744,0.00005737155,0.0003538104,3.040587e-8,0.996305,0.0003256755,0.0006880944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05063633,"threshold_uncertainty_score":0.9981796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403788088343909,"score_gpt":0.369551160084207,"score_spread":0.2291723512498161,"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."}}