{"id":"W3088747997","doi":"10.1111/1911-3838.12233","title":"The Competitive Intelligence Unit at Deloitte","year":2020,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Competitive intelligence; Competitive advantage; Capstone; Unit (ring theory); Business; Accounting; Marketing; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001065208,0.000362687,0.0001317464,0.001293051,0.004154375,0.00503153,0.0008100994,0.001181601,0.07213215],"category_scores_gemma":[0.002240357,0.0002637531,0.0001416929,0.0007965697,0.001228876,0.0009876032,0.001623792,0.001467086,0.006375769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01046115,"about_ca_system_score_gemma":0.008097759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1266729,"about_ca_topic_score_gemma":0.1853678,"domain_scores_codex":[0.9983147,0.0002720762,0.00004362798,0.00026499,0.0007349693,0.0003695757],"domain_scores_gemma":[0.9972594,0.0006963249,0.0001749353,0.0001221386,0.0008421006,0.0009051578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004639225,0.000341368,0.02189914,0.0002807865,0.00001992173,0.009394825,0.009052968,0.001119149,0.005543917,0.1503299,0.5033789,0.2981752],"study_design_scores_gemma":[0.00001275535,0.00005560835,0.006709337,0.00009224952,0.000004000687,0.0007239709,0.001754738,0.0006043675,0.001054727,0.001762743,0.9871969,0.00002850016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05533032,0.003232742,0.001909669,0.02225163,0.0009701918,0.0001350295,0.000482952,0.0002921052,0.9153954],"genre_scores_gemma":[0.2261771,0.001202898,0.003158837,0.001624573,0.0002188426,0.00005488708,0.0002817113,0.00006552224,0.7672157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1266729,"threshold_uncertainty_score":0.2518711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533135026129799,"score_gpt":0.2543425273239175,"score_spread":0.2190111770626195,"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."}}