{"id":"W2987292856","doi":"10.1016/j.infsof.2019.106213","title":"Towards assisting developers in API usage by automated recovery of complex temporal patterns","year":2019,"lang":"en","type":"article","venue":"Information and Software Technology","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Application programming interface; Software design pattern; Usage data; Software; Programming language; World Wide Web","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":[0.0002967246,0.0001014334,0.0001820679,0.000635578,0.00002817356,0.00005377641,0.0004659038,0.0001598285,0.00001958548],"category_scores_gemma":[0.0006199145,0.0001009052,0.00001736733,0.0007018223,0.00004300492,0.0008156555,0.0002864947,0.0001846372,0.00003189436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007088204,"about_ca_system_score_gemma":0.00008336858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080202,"about_ca_topic_score_gemma":0.000008212458,"domain_scores_codex":[0.9990631,0.00001657591,0.0003643169,0.0001333993,0.0001941984,0.000228396],"domain_scores_gemma":[0.9993427,0.0001427479,0.0001081402,0.0002796249,0.00009285504,0.00003391783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000470588,0.00001562539,0.7592298,0.0001440039,0.00001127327,0.000003509294,0.0004808159,0.0002182711,0.0001330121,0.0006028924,0.0006373397,0.2385187],"study_design_scores_gemma":[0.001570371,0.0002847534,0.8378575,0.0002083021,0.000002316444,0.00008402413,0.0002783286,0.1476097,0.002012673,0.0005587238,0.009002587,0.0005306887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7190124,0.00002834061,0.2788316,0.0002813863,0.00009477761,0.0001753035,0.00001210146,0.001451676,0.0001123141],"genre_scores_gemma":[0.9383645,0.00001122998,0.06147723,0.00008354615,0.00000125384,0.00001298087,0.00002878463,0.000004711615,0.00001573836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2379881,"threshold_uncertainty_score":0.4114797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224043863993776,"score_gpt":0.2495256170372038,"score_spread":0.2372851783972661,"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."}}