{"id":"W2186289255","doi":"","title":"JUGGLING MAGAZINES, PEOPLE, AND COMPUTERS: IMPLEMENTING AN ERP SYSTEM AT CANADA WIDE MAGAZINES","year":2004,"lang":"en","type":"article","venue":"","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"World Wide Web; Computer science; Multimedia; Advertising; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004145214,0.0003011018,0.0003313472,0.0001979422,0.0005526291,0.0006139757,0.0002096414,0.00004117886,0.0002703579],"category_scores_gemma":[0.00004008505,0.000270284,0.00004713365,0.0003721185,0.00002016716,0.001546958,0.0002926159,0.00007643677,0.00008954114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321784,"about_ca_system_score_gemma":0.0001128299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5694658,"about_ca_topic_score_gemma":0.9049256,"domain_scores_codex":[0.9979569,0.00001637997,0.0006021156,0.0004154657,0.0003932704,0.0006158532],"domain_scores_gemma":[0.9991347,0.00005171482,0.0003152909,0.0002712671,0.0001624659,0.00006453372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007625785,0.0001088198,0.8174967,0.003031897,0.0002138831,0.0001355362,0.0007558648,0.0008611868,0.002764382,0.07083517,0.09722497,0.006495404],"study_design_scores_gemma":[0.007875613,0.0000709204,0.6278614,0.000659834,0.0002473448,0.0002094508,0.02161057,0.01762401,0.0003713214,0.0003052269,0.3210588,0.002105485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763764,0.00007447175,0.002503841,0.001722167,0.0009338061,0.0005690369,0.00001735175,0.0003788033,0.0174241],"genre_scores_gemma":[0.9945593,0.000002757829,0.0008326853,0.003141818,0.0007965546,0.00001531009,0.0001451316,0.00004615187,0.0004603181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3354599,"threshold_uncertainty_score":0.9999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362391385845413,"score_gpt":0.2292308597524686,"score_spread":0.2156069458940145,"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."}}