{"id":"W3159568147","doi":"10.1145/3439769","title":"Automatic API Usage Scenario Documentation from Technical Q&amp;A Sites","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Saskatchewan; University of Calgary","funders":"","keywords":"Documentation; Computer science; Internal documentation; Software documentation; Code (set theory); Application programming interface; World Wide Web; Coding (social sciences); Software engineering; Information retrieval; Software; Programming language; Software development; Software development process; Set (abstract data type); Software construction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006204599,0.0002225996,0.0003135779,0.0002599735,0.0001274011,0.0001341462,0.0005115462,0.0001941336,0.0001534375],"category_scores_gemma":[0.004815415,0.0002380122,0.00009076006,0.000577949,0.00004209978,0.0002985688,0.00006028517,0.0005149737,0.00004945268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008991303,"about_ca_system_score_gemma":0.00007639908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004677529,"about_ca_topic_score_gemma":0.00001962611,"domain_scores_codex":[0.9982625,0.0002445393,0.0002736008,0.0005760372,0.0002626206,0.0003806762],"domain_scores_gemma":[0.9898239,0.008938451,0.000033898,0.0009532882,0.00008044096,0.0001700462],"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":[0.00003437294,0.0004002766,0.004015223,0.0003614673,0.0005124387,0.000385457,0.002887667,0.08049059,0.1115336,0.001982328,0.0004415512,0.796955],"study_design_scores_gemma":[0.009292007,0.00157045,0.3334592,0.001407361,0.0007282453,0.004892578,0.0003682419,0.2249727,0.3436637,0.02554528,0.04709649,0.007003766],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1053004,0.0004437104,0.8921154,0.0003227209,0.0005005072,0.0001007457,0.00001024912,0.001203757,0.000002551338],"genre_scores_gemma":[0.0971808,0.0001019856,0.9023282,0.0001034502,0.000043789,0.00006010447,0.00001691015,0.00002829145,0.0001364675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7899513,"threshold_uncertainty_score":0.9705857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09554814590246685,"score_gpt":0.3483151845275362,"score_spread":0.2527670386250694,"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."}}