{"id":"W2095743800","doi":"10.1109/icdm.2005.120","title":"Predicting Software Escalations with Maximum ROI","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vendor; Return on investment; Reputation; Revenue; Software; Computer science; Investment (military); Product (mathematics); Business; Marketing; Finance; Operating system","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":[0.003201473,0.0007637962,0.0007117619,0.003312445,0.000243785,0.000868134,0.0009440099,0.001122269,0.0005525239],"category_scores_gemma":[0.01717634,0.000349323,0.0005325023,0.001510219,0.0002842544,0.001659606,0.0005634009,0.001055925,0.0003161435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007523882,"about_ca_system_score_gemma":0.0003829433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002069656,"about_ca_topic_score_gemma":0.002338779,"domain_scores_codex":[0.9983437,0.0004780792,0.0001514527,0.0003856975,0.0004816455,0.0001593384],"domain_scores_gemma":[0.9874426,0.007107257,0.002643714,0.001000082,0.001437334,0.0003690466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004860941,0.0005001668,0.259965,0.0001335306,0.0001931124,0.0003088632,0.0001566733,0.5352558,0.002601287,0.001737784,0.005456394,0.1932052],"study_design_scores_gemma":[0.000008471239,0.00007903306,0.01537254,0.000007897042,0.00001923823,0.00009282897,0.00003010926,0.9811757,0.001317919,0.001597499,0.0002894399,0.000009242302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8695662,0.0005219253,0.124861,0.0005987048,0.00003230921,0.00009244555,0.001462711,0.001261047,0.001603488],"genre_scores_gemma":[0.9734825,0.0001047839,0.02424552,0.00004091872,0.00002994214,0.00004097863,0.001640345,0.00002961974,0.0003853989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003312445,"threshold_uncertainty_score":0.01693118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008598635395594132,"score_gpt":0.2201097054914591,"score_spread":0.211511070095865,"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."}}