{"id":"W346114403","doi":"","title":"PRINT PRODUCTION AUTOMATION: A CASE STUDY OF METROPOLITAN FINE PRINTERS","year":2015,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Automation; Metropolitan area; Business; Computer science; Engineering; Geography; Economics","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":[0.001090634,0.0004456313,0.0002750003,0.001313348,0.006861951,0.002533044,0.001381344,0.002080866,0.005190247],"category_scores_gemma":[0.004324742,0.0003918835,0.0003420189,0.002033674,0.001598911,0.001151943,0.001400691,0.001317921,0.0008029863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004007245,"about_ca_system_score_gemma":0.001946048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05999373,"about_ca_topic_score_gemma":0.1657936,"domain_scores_codex":[0.9984602,0.0005497194,0.00006445817,0.0001827807,0.0004265887,0.0003162335],"domain_scores_gemma":[0.9968345,0.001592571,0.0003400952,0.0002767561,0.0003759662,0.0005801143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.001038804,0.005561704,0.1860193,0.0007589177,0.0001525981,0.2264154,0.3490513,0.01305464,0.01363603,0.009835565,0.01230323,0.1821726],"study_design_scores_gemma":[0.0001456298,0.00260755,0.257182,0.0002642031,0.0001036956,0.03292022,0.5275753,0.01581166,0.01138837,0.002206639,0.1496145,0.0001802212],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915382,0.0001030912,0.0007986718,0.0005200202,0.000007764223,0.00005545478,0.00004970906,0.0000429918,0.006884075],"genre_scores_gemma":[0.9898185,0.0002276171,0.001679056,0.0001561425,0.0000147044,0.00001885611,0.00005387783,0.00003116764,0.008000126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05999373,"threshold_uncertainty_score":0.119289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259357774474652,"score_gpt":0.2189284574730431,"score_spread":0.1963348797282966,"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."}}