{"id":"W2954709499","doi":"10.1109/msr.2019.00053","title":"Investigating Next Steps in Static API-Misuse Detection","year":2019,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Precision and recall; Application programming interface; Ranking (information retrieval); Recall; Software; Graph; Data mining; Information retrieval; Programming language; Theoretical computer science","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":[0.01502594,0.0027253,0.002340571,0.009030712,0.002374847,0.00804248,0.004115355,0.003487126,0.002502637],"category_scores_gemma":[0.05262319,0.001689226,0.001929628,0.00434417,0.002067058,0.01658025,0.003543781,0.004467706,0.002756091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870217,"about_ca_system_score_gemma":0.005103117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217376,"about_ca_topic_score_gemma":0.01609404,"domain_scores_codex":[0.9866363,0.004096068,0.0009018396,0.002691932,0.004284801,0.00138904],"domain_scores_gemma":[0.9448518,0.03018507,0.002808871,0.007275214,0.01318602,0.001692978],"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":[0.0004757895,0.001606862,0.1201495,0.00128346,0.0004148456,0.0007373109,0.001627961,0.02190053,0.02948326,0.0228172,0.02178621,0.777717],"study_design_scores_gemma":[0.0001356418,0.001062745,0.02507435,0.0007487249,0.0005319177,0.001772655,0.003758198,0.7596339,0.06622788,0.08816816,0.05255054,0.0003353157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2326285,0.007896833,0.7162179,0.01360615,0.0004613614,0.0008803175,0.0009994378,0.01865797,0.008651393],"genre_scores_gemma":[0.4433998,0.001503268,0.5470694,0.001469453,0.0001309543,0.0003160814,0.002556388,0.0007619374,0.002792549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01502594,"threshold_uncertainty_score":0.07946575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678594248428674,"score_gpt":0.2681808507987636,"score_spread":0.2413949083144769,"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."}}