{"id":"W7099044027","doi":"","title":"ENTERPSISE SYSTEM IMPLEMENTATION IN LARGE CORPORATIONS: A COMPARATIVE STUDY OF CANADIAN AND US FIRMS","year":2008,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Plan (archaeology); Enterprise system; Key (lock); Best practice","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":[0.00266451,0.0002873134,0.0003338961,0.003762414,0.007013383,0.003570275,0.001048226,0.0006361054,0.001538022],"category_scores_gemma":[0.009949806,0.000390113,0.000247152,0.007467397,0.002185769,0.001384379,0.002108298,0.001002166,0.0001515315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04704946,"about_ca_system_score_gemma":0.05919992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732981,"about_ca_topic_score_gemma":0.9904876,"domain_scores_codex":[0.9958065,0.0004552249,0.0001406837,0.0002838818,0.001664042,0.001649693],"domain_scores_gemma":[0.9842418,0.002312917,0.002718738,0.0003317556,0.006572671,0.00382217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002367611,0.0007020862,0.8742036,0.0001287912,0.00004629701,0.0007175728,0.07133581,0.0004166556,0.00131413,0.002087261,0.001854064,0.04695707],"study_design_scores_gemma":[0.000007776174,0.0001397955,0.8997594,0.00005333526,0.00001883363,0.00010931,0.09449521,0.0002940907,0.0002622288,0.00004276916,0.004786845,0.00003029758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969008,0.0001829745,0.00004315726,0.0002647043,0.000003046312,0.00001958851,0.00006828929,0.000004602211,0.002512743],"genre_scores_gemma":[0.9981743,0.0004089665,0.0001280523,0.0001436864,0.0000027806,0.000008356756,0.0001065473,0.000004200606,0.001023056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04704946,"threshold_uncertainty_score":0.3413693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526309992371745,"score_gpt":0.2791629588647628,"score_spread":0.2338998589410454,"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."}}