{"id":"W7125608655","doi":"10.1109/cascon66301.2025.00072","title":"Pushing Feelings: Emotion and Sentiment in Software Commit Messages","year":2025,"lang":"","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Commit; Sentiment analysis; Software; Random forest; Implementation; Source code; Code (set theory)","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":[0.0006941232,0.0004802329,0.0002289206,0.001088532,0.0003002821,0.0008447788,0.0002180046,0.0004349532,0.001441436],"category_scores_gemma":[0.005357721,0.0001019525,0.0002906005,0.0009198298,0.0002700542,0.0008283202,0.0005670324,0.0006864936,0.0008413647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004191759,"about_ca_system_score_gemma":0.0002297828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002571276,"about_ca_topic_score_gemma":0.005337357,"domain_scores_codex":[0.9992212,0.0002395297,0.00006205795,0.0001425705,0.0002564271,0.00007816692],"domain_scores_gemma":[0.9974238,0.001179674,0.0004998074,0.0001480621,0.000600565,0.000148072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001735131,0.0006246325,0.5086998,0.001321908,0.0002485276,0.0009607929,0.007875076,0.004677414,0.05253555,0.002144675,0.07675222,0.3424242],"study_design_scores_gemma":[0.00004898196,0.0003557498,0.8492261,0.0002256118,0.0001327247,0.000599011,0.007772522,0.06641954,0.0234549,0.003155518,0.0484922,0.0001171477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767229,0.0003894715,0.006683188,0.0005352647,0.000135452,0.00007858778,0.009503171,0.0006571081,0.005294807],"genre_scores_gemma":[0.9723048,0.0002489719,0.007404734,0.0001518481,0.00009677411,0.0001151175,0.01564987,0.0001017252,0.003926196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002571276,"threshold_uncertainty_score":0.005112648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309175288314964,"score_gpt":0.2714052666415078,"score_spread":0.2583135137583581,"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."}}