{"id":"W1821120444","doi":"10.1002/j.1681-4835.2013.tb00413.x","title":"An Empirical Analysis of End‐User Participation in Software Development Projects in a Developing Country Context","year":2013,"lang":"en","type":"article","venue":"The Electronic Journal of Information Systems in Developing Countries","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Software development; Perception; Context (archaeology); End user; Software; Computer science; Knowledge management; Social software engineering; Software peer review; Affect (linguistics); Software engineering; Software construction; World Wide Web; Psychology; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004331386,0.0001961668,0.0005716181,0.002125571,0.000109961,0.0003579608,0.0009817758,0.0001166592,0.000004887803],"category_scores_gemma":[0.0004563512,0.0001523262,0.00004273143,0.005057443,0.00006787172,0.004527476,0.00009863672,0.0004079404,0.0000107824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872455,"about_ca_system_score_gemma":0.004566004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004430357,"about_ca_topic_score_gemma":0.001683214,"domain_scores_codex":[0.9956754,0.000299639,0.002523219,0.0001435781,0.000796394,0.0005617797],"domain_scores_gemma":[0.9966315,0.000448897,0.001365538,0.000319511,0.00119726,0.0000372697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007183902,0.0001037999,0.6202186,0.0002721858,0.0004791415,0.00000548477,0.1121767,0.03761142,0.00001139969,0.2180552,0.0001758345,0.01081836],"study_design_scores_gemma":[0.001648639,0.0001451494,0.939018,0.001254951,0.00004557519,0.00006661359,0.006819428,0.02938716,0.000559654,0.001185819,0.01925948,0.0006095594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5793721,0.0001863945,0.4190148,0.0008329999,0.0001248013,0.0004289353,0.000001002828,0.00002079787,0.00001812283],"genre_scores_gemma":[0.9894693,0.0000713942,0.009662173,0.0006648421,0.00001548568,0.00009316621,0.00001171446,0.000007103402,0.000004797736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4100972,"threshold_uncertainty_score":0.8099895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867753635687665,"score_gpt":0.297175553080872,"score_spread":0.2784980167239953,"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."}}