{"id":"W2611273344","doi":"10.4018/irmj.2017070101","title":"Information Systems Quality and Success in Canadian Software Development Firms","year":2017,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Quality (philosophy); Information system; Software quality; Business; Information quality; Process management; Software development; Process (computing); Software; Capability Maturity Model; Information technology; Knowledge management; Marketing; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004406506,0.0002630526,0.000429453,0.005373294,0.008403436,0.006462341,0.001273533,0.0006424626,0.003616445],"category_scores_gemma":[0.02485307,0.0003925401,0.0004695795,0.01404267,0.00321988,0.001316115,0.002237797,0.00180469,0.0003180277],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1242495,"about_ca_system_score_gemma":0.1070402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963955,"about_ca_topic_score_gemma":0.9967309,"domain_scores_codex":[0.9922547,0.0006035917,0.0003184485,0.0004326111,0.004537093,0.001853559],"domain_scores_gemma":[0.9552181,0.004676522,0.005608741,0.0007855291,0.02344179,0.01026937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001304884,0.0002470881,0.9339333,0.0001166196,0.00008481512,0.0003045377,0.01392178,0.001172158,0.000287418,0.008052415,0.008904822,0.03284452],"study_design_scores_gemma":[0.00001284215,0.00003676629,0.9849113,0.00008216701,0.00002261986,0.00002973478,0.008018753,0.001016498,0.0001518198,0.0002595997,0.005420552,0.00003730864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693047,0.0009471744,0.0002028833,0.003503997,0.00001977685,0.00004356682,0.0007509591,0.00003183911,0.02519518],"genre_scores_gemma":[0.9969471,0.0004489447,0.0001861077,0.0001274988,0.000004644179,0.000007606998,0.0003315107,0.00001052562,0.001936135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8757505,"threshold_uncertainty_score":0.9014975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635191426981561,"score_gpt":0.285024320070641,"score_spread":0.2386724058008254,"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."}}