{"id":"W4312753189","doi":"10.1109/icsme55016.2022.00075","title":"Mining Annotation Usage Rules: A Case Study with MicroProfile","year":2022,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Alberta","funders":"","keywords":"Computer science; Java; Application programming interface; Annotation; Microservices; Documentation; Process (computing); Reuse; Software engineering; Data mining; Programming language; Information retrieval; Artificial intelligence","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":[0.008795461,0.0006774903,0.0006696306,0.003677146,0.002079044,0.001605156,0.002370065,0.002430738,0.0007794099],"category_scores_gemma":[0.04583298,0.0006564463,0.0008340891,0.0042736,0.001366472,0.002616087,0.001594856,0.001688058,0.0003447468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011479,"about_ca_system_score_gemma":0.001511259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008882,"about_ca_topic_score_gemma":0.02180694,"domain_scores_codex":[0.9882976,0.004577315,0.001391199,0.001549739,0.003632936,0.0005512838],"domain_scores_gemma":[0.8825434,0.09426202,0.007548634,0.007402157,0.007173425,0.001070302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.001034828,0.003478047,0.4790304,0.002808539,0.0003920868,0.04759726,0.04915119,0.02846493,0.02722336,0.006011779,0.01154163,0.3432659],"study_design_scores_gemma":[0.0004776197,0.002522856,0.3459736,0.001872231,0.0008333701,0.04444176,0.06378876,0.2942445,0.129395,0.01391928,0.1018931,0.0006377866],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677844,0.000402053,0.02694322,0.0008426879,0.00002115706,0.0002653111,0.001088201,0.0007114578,0.001941562],"genre_scores_gemma":[0.8750806,0.0004885427,0.1185023,0.0002702405,0.00002172577,0.0002621302,0.002786776,0.0003903867,0.0021972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008882,"threshold_uncertainty_score":0.04651535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223596113575428,"score_gpt":0.27618583107004,"score_spread":0.2538262197124972,"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."}}