{"id":"W4403648077","doi":"10.1145/3691621.3694946","title":"Engaging with AI: An Exploratory Study on Developers' Sharing and Reactions to ChatGPT in GitHub Pull Requests","year":2024,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Exploratory research; World Wide Web","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":[0.005781729,0.00057372,0.0004702586,0.001929415,0.002509592,0.001818277,0.0009211773,0.001026221,0.001190254],"category_scores_gemma":[0.04442066,0.0003737382,0.0002731713,0.00127857,0.001628193,0.002036138,0.004043689,0.001305511,0.0005158913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154767,"about_ca_system_score_gemma":0.001309513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006449556,"about_ca_topic_score_gemma":0.01232462,"domain_scores_codex":[0.9925148,0.004764575,0.0002583913,0.0007521606,0.001148394,0.0005616316],"domain_scores_gemma":[0.9398078,0.04683157,0.005410807,0.002406925,0.003642866,0.001899995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000563847,0.0003419354,0.1162535,0.0005957758,0.00005354541,0.002792898,0.806039,0.0004305619,0.01814596,0.0007437626,0.002943472,0.05109572],"study_design_scores_gemma":[0.00007277609,0.0007245747,0.2318211,0.0003970741,0.00008672494,0.001145507,0.7143413,0.006234625,0.00816292,0.00165418,0.03515877,0.0002003572],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955046,0.0000850514,0.002035314,0.000265637,0.00001370281,0.0001014032,0.0001507696,0.00008233328,0.001761374],"genre_scores_gemma":[0.9949381,0.00009756625,0.002369223,0.0002653826,0.00002168934,0.0003193255,0.0002468415,0.00008556828,0.001656239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006449556,"threshold_uncertainty_score":0.03057706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962939821395306,"score_gpt":0.2843472717918945,"score_spread":0.2547178735779415,"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."}}