{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002728471,0.00179337,0.0009212603,0.01481244,0.001002891,0.002043499,0.002872543,0.001656228,0.003114234],"category_scores_gemma":[0.0175835,0.0007502843,0.001399462,0.01039943,0.0006361842,0.002649032,0.003700285,0.001228856,0.004888037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281318,"about_ca_system_score_gemma":0.002206914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02578835,"about_ca_topic_score_gemma":0.02954803,"domain_scores_codex":[0.9954314,0.0004813272,0.0007101049,0.001203336,0.001712389,0.0004614835],"domain_scores_gemma":[0.9873748,0.002534329,0.001741489,0.003685913,0.004001341,0.000662113],"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":[0.0004682584,0.0003718708,0.07107437,0.00287422,0.0004852685,0.001157338,0.0009362028,0.006133278,0.002488005,0.004801365,0.8503374,0.05887233],"study_design_scores_gemma":[0.0003238006,0.0002000291,0.1473698,0.0007785791,0.000270518,0.001680583,0.00168254,0.02585297,0.009731032,0.008544188,0.8032699,0.000296105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04918194,0.00140155,0.007182509,0.0007433947,0.0002397565,0.0003214817,0.9103274,0.02324187,0.007360162],"genre_scores_gemma":[0.02084218,0.0002364794,0.008291913,0.0001352813,0.00002942286,0.0001748686,0.9685072,0.0008619796,0.0009207935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02578835,"threshold_uncertainty_score":0.05127645,"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."}}