{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003566016,0.0004514681,0.0001572748,0.001764724,0.02088145,0.008694917,0.001240271,0.001812124,0.009626767],"category_scores_gemma":[0.0135138,0.0005986571,0.0002442242,0.003014514,0.002972043,0.003356003,0.00227229,0.002472648,0.001414979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05014765,"about_ca_system_score_gemma":0.1070056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.930672,"about_ca_topic_score_gemma":0.9814201,"domain_scores_codex":[0.9952179,0.001018684,0.00008383946,0.0002396967,0.002057199,0.001382596],"domain_scores_gemma":[0.9837945,0.002509244,0.0006154716,0.0002457213,0.006761936,0.0060731],"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":[0.0003611578,0.002291602,0.1020726,0.0002711832,0.0000425987,0.00138379,0.1782619,0.0009543558,0.008499938,0.01097986,0.1794234,0.5154576],"study_design_scores_gemma":[0.0001041168,0.0008536606,0.3208981,0.0002413302,0.0001490402,0.0003235108,0.3200948,0.001354325,0.005602292,0.001365994,0.3488076,0.0002052278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733034,0.0007314916,0.001536788,0.02889538,0.0002831222,0.0003074551,0.0002194178,0.0006520177,0.09407102],"genre_scores_gemma":[0.8880112,0.001097372,0.008602041,0.006598209,0.00007098636,0.0001258843,0.0002967609,0.000251017,0.09494638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06932801,"threshold_uncertainty_score":0.3638484,"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."}}