{"id":"W4284663063","doi":"10.1145/3510003.3510131","title":"ShellFusion","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 44th International Conference on Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Shell (structure); Unix; Task (project management); Operating system; Programming language; World Wide Web; Software; Engineering","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":[0.001372307,0.001620378,0.001504599,0.001040226,0.001384721,0.003563703,0.004643589,0.002294349,0.1518514],"category_scores_gemma":[0.005420384,0.00131024,0.001785786,0.0009684146,0.0007488985,0.006280066,0.006095646,0.002949769,0.1451145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007828383,"about_ca_system_score_gemma":0.001321232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860867,"about_ca_topic_score_gemma":0.002556224,"domain_scores_codex":[0.9985371,0.0001075971,0.00010984,0.0003555707,0.0006649124,0.0002249403],"domain_scores_gemma":[0.9985943,0.0002290942,0.00007313315,0.0005333095,0.0004257431,0.0001445057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005268977,0.00009395335,0.001552335,0.0005744034,0.0001059029,0.0003845564,0.0002826508,0.001725053,0.01337129,0.01638733,0.8911051,0.07389057],"study_design_scores_gemma":[0.0001242403,0.00007435257,0.001365286,0.0001229277,0.00005448853,0.0006632486,0.0001024835,0.01728501,0.02719286,0.01590204,0.9370006,0.0001125181],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.006939676,0.00145809,0.1929358,0.001136653,0.001689309,0.0003365273,0.02412366,0.6315858,0.1397944],"genre_scores_gemma":[0.09210661,0.002506674,0.1924337,0.004805475,0.0005374768,0.001023206,0.2272318,0.2790738,0.2002812],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1518514,"threshold_uncertainty_score":0.5079936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502271930281081,"score_gpt":0.2206747367440358,"score_spread":0.205652017441225,"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."}}