{"id":"W2987704219","doi":"10.1145/3356773.3356810","title":"Workshop Summary","year":2019,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software engineering; Software testing; Event (particle physics); Engineering management; Engineering; Library science; Software; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003105024,0.0003134106,0.0002940426,0.0002297328,0.00007418983,0.0001906544,0.002035742,0.0001579011,0.0000285636],"category_scores_gemma":[0.09301708,0.0003170262,0.0001205531,0.0006206877,0.00001936727,0.0005080043,0.000849443,0.0003421483,0.000296086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006346144,"about_ca_system_score_gemma":0.00005580295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002507882,"about_ca_topic_score_gemma":5.644876e-7,"domain_scores_codex":[0.998235,0.00002218325,0.0002745566,0.0005895378,0.0003408697,0.0005377856],"domain_scores_gemma":[0.945088,0.05236541,0.00008611602,0.002190697,0.0001035953,0.0001661991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000676408,0.00008111329,0.9021361,0.0001899277,0.00004957822,0.0000644009,0.00047442,0.001733858,0.0009347626,0.002824519,0.02471834,0.0667862],"study_design_scores_gemma":[0.003157571,0.0010719,0.7979361,0.004454044,0.0001085811,0.0007035083,0.00001977579,0.04993338,0.03133117,0.02134199,0.0806951,0.009246871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1469277,0.0011892,0.778658,0.0007054087,0.001797876,0.0004213082,0.000006318111,0.07025093,0.0000432191],"genre_scores_gemma":[0.5742274,0.00000870955,0.4252145,0.000239106,0.00008035465,0.00002298034,0.000006477136,0.00003797908,0.0001624888],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4272997,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518160031934838,"score_gpt":0.2350420651470013,"score_spread":0.2198604648276529,"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."}}