{"id":"W4243774012","doi":"10.1145/2666357.2597823","title":"em-SPADE","year":2014,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Compiler; Programming language; Preprocessor; Software; Parallel computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001104877,0.0009282212,0.0005304185,0.0008490494,0.0003542619,0.001187359,0.001698448,0.0007012492,0.02047754],"category_scores_gemma":[0.00464315,0.0009985099,0.0009701604,0.0004970471,0.0005178259,0.002690541,0.001966086,0.001436049,0.01375679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004138002,"about_ca_system_score_gemma":0.001177659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006992525,"about_ca_topic_score_gemma":0.001235397,"domain_scores_codex":[0.9987829,0.0001990022,0.0001213806,0.0003083414,0.0004790133,0.0001093682],"domain_scores_gemma":[0.9971847,0.0007112329,0.0002122722,0.001197318,0.0006271534,0.00006725432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001920858,0.0004660737,0.01133383,0.00137715,0.0002716926,0.0006519591,0.0005639509,0.02170226,0.04199682,0.05153753,0.3540768,0.514101],"study_design_scores_gemma":[0.0003975208,0.0005631821,0.003328734,0.0001833383,0.0001524909,0.001348402,0.00008958051,0.1774387,0.1559765,0.02889464,0.6315184,0.0001084508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0354205,0.0007128607,0.5727072,0.0006277678,0.000439368,0.0003593432,0.009575757,0.3366239,0.04353335],"genre_scores_gemma":[0.2364078,0.0005999195,0.6166499,0.001546873,0.0001359034,0.0007119187,0.03961688,0.04596039,0.05837047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02047754,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955025228379702,"score_gpt":0.2625397247484502,"score_spread":0.2429894724646532,"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."}}