{"id":"W3209467133","doi":"10.5281/zenodo.2595071","title":"Security Bug Conversations","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007000498,0.0002370615,0.0002299005,0.0003880418,0.001773122,0.002074906,0.003869578,0.0001991681,0.01301725],"category_scores_gemma":[0.0003089246,0.000259692,0.00009975892,0.0006749767,0.0001115737,0.0008760326,0.0030314,0.0006561063,0.07573153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948175,"about_ca_system_score_gemma":0.00001647721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003426712,"about_ca_topic_score_gemma":7.78769e-7,"domain_scores_codex":[0.9977332,0.000322758,0.0003752713,0.00051422,0.0006373734,0.0004171172],"domain_scores_gemma":[0.9973094,0.0000307492,0.000257935,0.001480419,0.0007228777,0.0001986],"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":[0.00000516511,0.0000701879,6.05532e-8,0.00009691182,0.00002792317,0.000005715026,0.0006448882,0.000009651841,0.000003434098,0.007256318,0.989273,0.002606821],"study_design_scores_gemma":[0.0003295845,0.00009077119,0.00001645112,0.00002686241,0.00001232106,0.00007384219,0.00007089328,0.001045863,0.00001711946,0.0003000794,0.9977262,0.0002900375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001851058,0.00003993681,0.008427889,0.0009003255,0.0006709998,0.00058764,0.9451206,0.000843988,0.04339016],"genre_scores_gemma":[0.001146376,0.0001182294,0.0001243087,0.0006125708,0.0001336127,4.378643e-8,0.997198,0.0003336314,0.0003331748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06271428,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839449184434379,"score_gpt":0.2447270906336742,"score_spread":0.2163325987893304,"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."}}