{"id":"W4229517920","doi":"10.26226/morressier.613b54401459512fce6a7cfd","title":"Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; École de Technologie Supérieure","funders":"","keywords":"Stack (abstract data type); Computer science; Unsupervised learning; Artificial intelligence; Machine learning; Operating system","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":[0.001372733,0.00133112,0.0008604624,0.006396304,0.0009375986,0.00221942,0.001322641,0.001156835,0.001822711],"category_scores_gemma":[0.009514807,0.0004672904,0.001172069,0.003095578,0.0005411828,0.004151013,0.002098344,0.001743722,0.002261929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007598983,"about_ca_system_score_gemma":0.001481652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005244311,"about_ca_topic_score_gemma":0.01212483,"domain_scores_codex":[0.9986295,0.0002310461,0.0001197651,0.0004684567,0.000381454,0.000169916],"domain_scores_gemma":[0.9951419,0.001953708,0.0006661778,0.0008094485,0.00117255,0.0002562707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009193852,0.0006262832,0.03909522,0.0006124076,0.0003683471,0.0005789351,0.0009767914,0.02743938,0.02381276,0.004390084,0.06086513,0.8403154],"study_design_scores_gemma":[0.00006213733,0.000229235,0.01669754,0.0001068292,0.0002771877,0.0002769945,0.0004237291,0.9096167,0.01571059,0.03101877,0.02546418,0.0001161601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2651245,0.004608911,0.6545209,0.002025496,0.001002426,0.0004383344,0.01261368,0.0502263,0.009439433],"genre_scores_gemma":[0.665759,0.00130714,0.2848902,0.0004774717,0.0008010962,0.0003588769,0.03473212,0.003082508,0.008591438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006396304,"threshold_uncertainty_score":0.01042759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838823046387234,"score_gpt":0.2734209649122384,"score_spread":0.245032734448366,"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."}}