{"id":"W1976268263","doi":"10.4236/ti.2011.22015","title":"An Integrated Approach for Selecting Information Systems: A Case Study","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balanced scorecard; Computer science; Order (exchange); Process (computing); Analytic network process; Quality (philosophy); Decision support system; Process management; Simple (philosophy); Selection (genetic algorithm); Investment (military); Information system; Risk analysis (engineering); Operations research; Management science; Business; Data mining; Analytic hierarchy process; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006737069,0.0007502114,0.0005552687,0.003090585,0.003131721,0.004254906,0.001850592,0.00339505,0.003828773],"category_scores_gemma":[0.009074406,0.0004586835,0.0008047938,0.004880649,0.001554004,0.003478008,0.002570852,0.001167083,0.0004745769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003859488,"about_ca_system_score_gemma":0.003004307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00702751,"about_ca_topic_score_gemma":0.01554008,"domain_scores_codex":[0.9894901,0.006974644,0.0004180223,0.0004673839,0.002058039,0.0005918911],"domain_scores_gemma":[0.9926085,0.005072412,0.0004854698,0.0005114314,0.0008197309,0.0005023479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002206394,0.01589943,0.09575364,0.0020738,0.0004334477,0.03720196,0.07463774,0.1284717,0.03216798,0.138703,0.009178022,0.4632729],"study_design_scores_gemma":[0.001131717,0.006494071,0.0384568,0.001270266,0.0005387943,0.01029479,0.1140843,0.6416646,0.0375045,0.02910232,0.1190864,0.0003715091],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745087,0.000380372,0.08613791,0.001372285,0.00002816047,0.001736847,0.0003101632,0.0001267186,0.03539889],"genre_scores_gemma":[0.8398791,0.0003740027,0.1544846,0.0001417087,0.00001303386,0.0005556661,0.0002202294,0.00003143095,0.004300176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00702751,"threshold_uncertainty_score":0.03562945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08277338504839148,"score_gpt":0.2765710410333703,"score_spread":0.1937976559849788,"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."}}