{"id":"W3124537160","doi":"10.7287/peerj.preprints.826","title":"An empirical study of goto in C code","year":2015,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Goto; Go/no go; Commit; Computer science; Statement (logic); Code (set theory); Dijkstra's algorithm; Programming language; Limit (mathematics); Empirical research; Statistics; Mathematics; Theoretical computer science; Machine learning; Law; Database; Political science; Shortest path problem; Graph; Set (abstract data type)","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":[0.0112534,0.0003239074,0.000314936,0.003170518,0.002031611,0.002476251,0.001265813,0.00112505,0.00217067],"category_scores_gemma":[0.1757638,0.0005431214,0.0002688766,0.003939009,0.003921851,0.004989475,0.001950067,0.002511994,0.0005158586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639055,"about_ca_system_score_gemma":0.00170383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00845245,"about_ca_topic_score_gemma":0.01155114,"domain_scores_codex":[0.9854249,0.005386125,0.001025653,0.00169572,0.005593521,0.0008740806],"domain_scores_gemma":[0.6235436,0.2614383,0.05910959,0.01492668,0.03541363,0.005568289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003929659,0.0005919943,0.9045585,0.0004618994,0.00006938513,0.000789587,0.04647952,0.000443407,0.001710034,0.001977114,0.002054211,0.04047146],"study_design_scores_gemma":[0.00004008372,0.0008233953,0.9237813,0.000466394,0.0000518483,0.001132941,0.05551569,0.00336977,0.002080125,0.001337997,0.01130591,0.00009443397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956371,0.0001807553,0.0007133651,0.0003531881,0.00000916307,0.00005916221,0.0001323536,0.00002669716,0.002888338],"genre_scores_gemma":[0.9976885,0.0001488894,0.0009073718,0.0001451379,0.00001161267,0.0000509174,0.0002306684,0.0000455872,0.0007711233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112534,"threshold_uncertainty_score":0.0595144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09214601773672157,"score_gpt":0.3947198044858177,"score_spread":0.3025737867490961,"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."}}