{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559229,0.00009338481,0.00009958311,0.00009488678,0.00006185468,0.0001995826,0.002059405,0.00004462467,0.00002728201],"category_scores_gemma":[0.003013444,0.00008382916,0.00002733102,0.0002453857,0.00001984564,0.0002956585,0.0004555428,0.0001407225,0.0006037949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001572625,"about_ca_system_score_gemma":0.00001996846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002335414,"about_ca_topic_score_gemma":0.00001003659,"domain_scores_codex":[0.9989605,0.00004310726,0.000101288,0.0002698086,0.0003199109,0.0003054081],"domain_scores_gemma":[0.9967679,0.002002525,0.00002794041,0.00105418,0.0000373452,0.0001101542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002972462,0.0003084044,0.1814543,0.0004062058,0.0001776346,0.0001990116,0.009257936,0.01460684,0.005555191,0.1246596,0.06005848,0.6032867],"study_design_scores_gemma":[0.001167016,0.0005398713,0.5641139,0.0001188081,0.00001770069,0.00004704072,0.00008121644,0.2438395,0.01195205,0.01099908,0.1658485,0.001275333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4236026,0.0001818896,0.5696146,0.00211783,0.001002558,0.0001419727,0.000001844554,0.00121598,0.002120689],"genre_scores_gemma":[0.9489403,0.000002113334,0.05043512,0.0002052832,0.0001545196,0.00000669562,0.000001483286,0.000009594888,0.0002449073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6020114,"threshold_uncertainty_score":0.7760763,"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."}}