{"id":"W4206923519","doi":"10.1142/s0218194021400192","title":"Automatically Generating Release Notes with Content Classification Models","year":2021,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Automatic summarization; Computer science; Task (project management); Metric (unit); Software; Software release life cycle; Artificial intelligence; Word (group theory); Machine learning; Word embedding; Natural language processing; Information retrieval; Embedding; Software development; Software quality; Programming language","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":[0.001524713,0.001492214,0.0007775201,0.003956458,0.0004306827,0.001148817,0.001430195,0.0009256172,0.001231466],"category_scores_gemma":[0.007787051,0.0004578079,0.001018836,0.001914145,0.0003638836,0.002263575,0.0007213081,0.001212913,0.00153568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008055131,"about_ca_system_score_gemma":0.001073517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488599,"about_ca_topic_score_gemma":0.004628033,"domain_scores_codex":[0.9988084,0.0002398035,0.0001515146,0.0003884414,0.0003243229,0.00008744272],"domain_scores_gemma":[0.9910596,0.005087865,0.001063343,0.0008445414,0.001756629,0.0001880033],"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":[0.000746841,0.0006218923,0.01070367,0.0006095272,0.0001255898,0.0007407578,0.0004346881,0.06555104,0.02952695,0.002779165,0.02658901,0.8615708],"study_design_scores_gemma":[0.00007805935,0.0001823307,0.003153091,0.000037596,0.0001026212,0.0001568396,0.0001100589,0.9669115,0.02034638,0.003744241,0.005142037,0.00003527637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1772545,0.001620151,0.7849579,0.0006764891,0.0003981455,0.0006148047,0.005197963,0.02650432,0.002775726],"genre_scores_gemma":[0.4240738,0.0006548456,0.5480034,0.0002021566,0.0003755745,0.0004754712,0.01984395,0.0008859385,0.005484851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003956458,"threshold_uncertainty_score":0.008063555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481585465653141,"score_gpt":0.2557865103149564,"score_spread":0.2209706556584249,"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."}}