{"id":"W4364321651","doi":"10.1109/tse.2023.3265855","title":"Identifying Concepts in Software Projects","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Documentation; Software engineering; Domain (mathematical analysis); Software project management; Software development; Software; Domain analysis; Data science; Software construction; 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":[0.003269988,0.0007465834,0.0004084668,0.01421962,0.001553544,0.002986655,0.001000293,0.001266576,0.002248272],"category_scores_gemma":[0.03015948,0.0004807557,0.0007231347,0.01166896,0.001059844,0.008359853,0.004711513,0.001297858,0.0008022797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341047,"about_ca_system_score_gemma":0.002744616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00509015,"about_ca_topic_score_gemma":0.004294871,"domain_scores_codex":[0.995284,0.001217199,0.0005851396,0.001108726,0.001611866,0.0001931151],"domain_scores_gemma":[0.9835096,0.008421813,0.002309916,0.001491475,0.003724908,0.0005422031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00023845,0.0002323333,0.09286644,0.001479368,0.0001094674,0.001049238,0.01567258,0.006219581,0.01059689,0.08616657,0.01172877,0.7736403],"study_design_scores_gemma":[0.000129008,0.0003971512,0.1053278,0.002017922,0.0003064003,0.004391159,0.02456086,0.1467828,0.02903673,0.3228006,0.3639205,0.0003290677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3843381,0.00276439,0.5825015,0.001179151,0.0001880787,0.0008111164,0.006799424,0.002588406,0.01882985],"genre_scores_gemma":[0.3974297,0.001161082,0.5883023,0.0001715775,0.00004668442,0.0007902655,0.008703901,0.0003906001,0.00300389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01421962,"threshold_uncertainty_score":0.01729351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530785764332117,"score_gpt":0.2955445288280574,"score_spread":0.2602366711847362,"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."}}