{"id":"W2131693786","doi":"10.1145/2735399.2735417","title":"ACM SIGSOFT FSE 2014 Conference Summary","year":2015,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Engineering; Library science; Software; Software engineering; Engineering ethics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007639322,0.000603969,0.000508941,0.0003418095,0.0001277162,0.000479605,0.004534964,0.0003105732,0.00004839458],"category_scores_gemma":[0.3047015,0.0006192996,0.0001674828,0.0006885381,0.00005252699,0.001751771,0.002005259,0.0006726185,0.000287305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427931,"about_ca_system_score_gemma":0.0002337761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159801,"about_ca_topic_score_gemma":0.000003871963,"domain_scores_codex":[0.9969891,0.00006760604,0.0005208899,0.0008680432,0.0007095775,0.000844754],"domain_scores_gemma":[0.8979684,0.09502611,0.0002971153,0.005202569,0.0005895685,0.0009162714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001478114,0.0007647502,0.5254362,0.001085567,0.0005824316,0.001076519,0.005751525,0.02389874,0.006721787,0.02932944,0.2694133,0.1357919],"study_design_scores_gemma":[0.003771721,0.001861041,0.1280559,0.001540084,0.0002389858,0.0009609546,0.00008887632,0.01768159,0.04515091,0.007691684,0.7842414,0.008716865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03305971,0.002239591,0.9490507,0.002012993,0.002616905,0.00044704,0.00003187386,0.01051398,0.00002720929],"genre_scores_gemma":[0.5204043,0.0001075378,0.4786422,0.0002613144,0.0002874231,0.00007562438,0.00002913346,0.00007678063,0.0001156689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5148281,"threshold_uncertainty_score":0.9996259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04656500864555982,"score_gpt":0.2706995584630495,"score_spread":0.2241345498174897,"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."}}