{"id":"W2803355808","doi":"10.1016/j.scico.2018.05.003","title":"Preface for the Special Issue on the 23rd Asia-Pacific Software Engineering Conference (APSEC) 2016","year":2018,"lang":"en","type":"article","venue":"Science of Computer Programming","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Software engineering; Software; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.001772209,0.0002067095,0.0001722213,0.0001380745,0.0005581025,0.0007628063,0.003167509,0.00005293961,0.00001826641],"category_scores_gemma":[0.0004695514,0.0001234697,0.00008776368,0.0009207431,0.0005294462,0.0007581349,0.0005079751,0.0002111304,0.00002070558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000394234,"about_ca_system_score_gemma":0.0001728445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001043324,"about_ca_topic_score_gemma":0.000001199721,"domain_scores_codex":[0.998108,0.00002995766,0.0002640664,0.0004960016,0.0005659842,0.0005360334],"domain_scores_gemma":[0.9971481,0.001258554,0.0001783554,0.0009452522,0.0003827564,0.0000869817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001442488,0.00005742388,0.00006339449,0.00003930617,0.00002410498,0.00000160729,0.001874895,0.0008076429,0.0003046963,0.07726087,0.009413538,0.9101381],"study_design_scores_gemma":[0.0001719828,0.0009102277,0.0006315517,0.0002141649,0.00001303918,0.00002092699,0.00006926146,0.3130855,0.0169764,0.001309085,0.6662146,0.0003832359],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001159087,0.00004934257,0.9932795,0.002124838,0.002070775,0.0006889393,0.000001879329,0.000421267,0.0002044026],"genre_scores_gemma":[0.1878954,0.00001147983,0.8085985,0.0000987961,0.003159877,0.0001018647,4.795615e-7,0.00001711123,0.0001164571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9097549,"threshold_uncertainty_score":0.7355759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142340247341738,"score_gpt":0.2649475131821159,"score_spread":0.2435241107086985,"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."}}