{"id":"W2164095450","doi":"10.1145/1370175.1370247","title":"4th international workshop on predictor models in SE (PROMISE 2008)","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"USable; Computer science; Verifiable secret sharing; Software engineering; Software; Data science; World Wide Web; Set (abstract data type); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01803118,0.001734528,0.002571159,0.001916076,0.001085707,0.005717831,0.004147445,0.003154075,0.04297289],"category_scores_gemma":[0.0331169,0.001129593,0.00422022,0.002462674,0.001311021,0.007963901,0.006085515,0.007267603,0.01692706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502318,"about_ca_system_score_gemma":0.003770012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006034938,"about_ca_topic_score_gemma":0.009360611,"domain_scores_codex":[0.993948,0.003774976,0.0003147585,0.0007474562,0.0009466284,0.0002682162],"domain_scores_gemma":[0.9802461,0.01137796,0.0004282473,0.004765011,0.002352038,0.000830568],"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":[0.0004863243,0.0006307788,0.004591595,0.0008318913,0.0005690345,0.0003284897,0.0007066146,0.02534987,0.0009811204,0.09583131,0.2958493,0.5738437],"study_design_scores_gemma":[0.000173562,0.000428757,0.004420227,0.001323625,0.0003659875,0.0005607111,0.000628315,0.19422,0.001840352,0.2252943,0.5705985,0.0001455757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00927382,0.0202002,0.9007924,0.02505238,0.006083834,0.0002738583,0.004399866,0.008768452,0.02515516],"genre_scores_gemma":[0.09604833,0.0223203,0.766699,0.007433992,0.005873172,0.001053288,0.02349804,0.004706125,0.07236775],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04297289,"threshold_uncertainty_score":0.1437587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883945114797469,"score_gpt":0.2844698911114727,"score_spread":0.235630439963498,"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."}}