{"id":"W1992696502","doi":"10.1016/j.im.2009.05.003","title":"Using search theory to determine an applications selection strategy","year":2009,"lang":"en","type":"article","venue":"Information & Management","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Selection (genetic algorithm); Computer science; Engineering; Management science; Operations research; Artificial intelligence","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":[0.006136004,0.0005798681,0.001264171,0.01040807,0.001233794,0.004345675,0.001033891,0.001568909,0.009413976],"category_scores_gemma":[0.03788245,0.0004483453,0.001330543,0.005273854,0.001391097,0.003997139,0.001352107,0.001181003,0.001013542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002888762,"about_ca_system_score_gemma":0.005216539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006043181,"about_ca_topic_score_gemma":0.006008455,"domain_scores_codex":[0.9956851,0.002330686,0.0002250789,0.0002881692,0.001072153,0.00039887],"domain_scores_gemma":[0.9738778,0.02313289,0.0004394517,0.0004403592,0.00185923,0.0002501708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005311854,0.0007415203,0.02572828,0.000697189,0.0005049043,0.0005583943,0.001600951,0.1125405,0.001652003,0.5304835,0.008757661,0.3162039],"study_design_scores_gemma":[0.0002022273,0.0004208938,0.005092128,0.0001697353,0.0002326514,0.0002639669,0.001554731,0.7643601,0.001192196,0.2224236,0.00403567,0.00005213367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2171644,0.0007935592,0.7218722,0.002049585,0.00009629159,0.00116928,0.0002716494,0.0003933612,0.05618965],"genre_scores_gemma":[0.8240575,0.0004403764,0.1674289,0.000323725,0.00004121515,0.00065881,0.0003170234,0.00009574579,0.006636704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01040807,"threshold_uncertainty_score":0.03245068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06771671346463355,"score_gpt":0.3432554035479032,"score_spread":0.2755386900832697,"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."}}