{"id":"W6939056096","doi":"10.60692/47z2e-ha706","title":"Assessing Code Authorship: The Case of the Linux Kernel","year":2017,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Linux kernel; Code (set theory); Key (lock); Kernel (algebra); Source code; Division (mathematics); Work (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":[0.008431088,0.0002957317,0.0003446453,0.004951208,0.002387489,0.002363949,0.0008221556,0.001204531,0.001342574],"category_scores_gemma":[0.07053777,0.0001759407,0.0002437199,0.004373589,0.001681998,0.003559074,0.002149773,0.001000418,0.0004546218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411497,"about_ca_system_score_gemma":0.0006137047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006606205,"about_ca_topic_score_gemma":0.006479877,"domain_scores_codex":[0.9932923,0.003813156,0.0003768122,0.0008303054,0.001175374,0.0005120942],"domain_scores_gemma":[0.8541926,0.111141,0.01291404,0.007411188,0.01069452,0.003646672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004886797,0.0003677247,0.9014305,0.0001512929,0.00005140507,0.003863093,0.02318288,0.006462065,0.002891883,0.00438574,0.002910334,0.05381442],"study_design_scores_gemma":[0.00005548556,0.0003753903,0.7479805,0.0002632645,0.00007619587,0.006147711,0.05584555,0.1420574,0.01154924,0.02067336,0.01481726,0.0001585439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963257,0.00009448353,0.00156629,0.0003163373,0.000007267079,0.00001346529,0.00007644551,0.00002989658,0.001570195],"genre_scores_gemma":[0.9982924,0.00002683909,0.001305773,0.00001260192,0.000006355084,0.000005041006,0.0000846553,0.00001308458,0.0002532958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008431088,"threshold_uncertainty_score":0.04458839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075585057216006,"score_gpt":0.3022302739700021,"score_spread":0.1946717682484015,"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."}}