{"id":"W2989967080","doi":"","title":"Code Forking and Software Development Project Sustainability: Evidence from GitHub","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Software engineering; Software development; Code (set theory); Software; Sustainability; Programming language; Ecology","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":[0.01075501,0.000389874,0.0004190389,0.004994297,0.001826367,0.002607414,0.001583932,0.001066803,0.003353001],"category_scores_gemma":[0.08799549,0.0004707472,0.0004346423,0.008160423,0.003806095,0.005038962,0.005560198,0.001606653,0.0006257378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197415,"about_ca_system_score_gemma":0.002747322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03387591,"about_ca_topic_score_gemma":0.05347942,"domain_scores_codex":[0.9922066,0.003407026,0.0005310574,0.00128053,0.001744519,0.0008301702],"domain_scores_gemma":[0.839238,0.06852365,0.06086047,0.01028324,0.01352385,0.007570705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000156429,0.0002204084,0.9544202,0.0001931123,0.00009441115,0.000217263,0.02074795,0.0001578129,0.0001421625,0.0008650759,0.000963353,0.02182192],"study_design_scores_gemma":[0.00001274693,0.00009814346,0.9816539,0.0002279785,0.0000455505,0.0001426608,0.01358876,0.0006452437,0.0001667109,0.001072702,0.0023221,0.0000234306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956959,0.0006243825,0.0004628195,0.0005867911,0.000006222018,0.0000254578,0.0003121347,0.00002163473,0.002264628],"genre_scores_gemma":[0.997946,0.0004747865,0.0004235829,0.00009392775,0.00001020014,0.00004358596,0.000416922,0.00003112116,0.0005599044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03387591,"threshold_uncertainty_score":0.06735748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193424326833351,"score_gpt":0.273981560421965,"score_spread":0.2520473171536315,"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."}}