{"id":"W2067699999","doi":"10.1108/17410390810888688","title":"A “genomic” classification scheme for supply chain management information systems","year":2008,"lang":"en","type":"article","venue":"Journal of Enterprise Information Management","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Toronto Metropolitan University","funders":"","keywords":"Computer science; Supply chain; Terminology; Supply chain management; Vendor; Information system; Software; Knowledge management; Process management; Software engineering; Data mining; Data science; Engineering","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":[0.003684121,0.0006718872,0.0004723285,0.013628,0.002941926,0.005592048,0.001325878,0.001583579,0.008558917],"category_scores_gemma":[0.01176507,0.0002721629,0.001250409,0.01509287,0.005885258,0.006009548,0.002487194,0.002030356,0.002674037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004987951,"about_ca_system_score_gemma":0.007037823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193071,"about_ca_topic_score_gemma":0.007935887,"domain_scores_codex":[0.995165,0.001934437,0.0007539109,0.0006176878,0.001090175,0.0004388855],"domain_scores_gemma":[0.9883258,0.003249963,0.001798049,0.002189855,0.003861479,0.0005748783],"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":[0.00009428937,0.00009939168,0.02221269,0.0005748573,0.00004180635,0.0003595733,0.009458343,0.002293429,0.00454975,0.7650212,0.01991524,0.1753794],"study_design_scores_gemma":[0.00005257667,0.0003638559,0.0356589,0.001260052,0.00009341964,0.001557366,0.02078784,0.01837347,0.002349964,0.3961644,0.5232059,0.0001322647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09576303,0.002486126,0.6946718,0.01348786,0.001327621,0.00345078,0.00719745,0.002453165,0.1791622],"genre_scores_gemma":[0.3221004,0.001200519,0.6518643,0.001577882,0.0001827658,0.002413484,0.007507263,0.000269951,0.01288352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.013628,"threshold_uncertainty_score":0.03619033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331202464358861,"score_gpt":0.2100031874311382,"score_spread":0.1966911627875496,"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."}}