{"id":"W3122368366","doi":"","title":"Reconciling the tension between consistency and relevance: design thinking as a mechanism for brand ambidexterity","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Ambidexterity; Relevance (law); Consistency (knowledge bases); Mechanism (biology); Tension (geology); Psychology; Business; Advertising; Political science; Epistemology; Computer science; Knowledge management; Artificial intelligence; Philosophy; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.03573519,0.0006747285,0.000503249,0.0031247,0.003874307,0.0153523,0.001839029,0.003361134,0.002665041],"category_scores_gemma":[0.03539466,0.001029741,0.0009532206,0.00162816,0.03498327,0.01731368,0.01142539,0.004221777,0.0005753973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003375969,"about_ca_system_score_gemma":0.004361208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004129341,"about_ca_topic_score_gemma":0.0004788848,"domain_scores_codex":[0.9725156,0.02056589,0.0009840771,0.001554536,0.003276243,0.001103735],"domain_scores_gemma":[0.9572578,0.02890404,0.002630074,0.008137528,0.002049246,0.001021241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006089767,0.0001061459,0.003663034,0.0003261718,0.00004616003,0.0004024144,0.09099051,0.001570636,0.003071041,0.8380198,0.0008516866,0.06089143],"study_design_scores_gemma":[0.00007512324,0.0001662225,0.001249215,0.0004909998,0.00005748578,0.0005852666,0.01673235,0.003354706,0.004617127,0.9259514,0.04665015,0.00006983224],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2356422,0.002267221,0.6016578,0.02583375,0.0002901581,0.0003145212,0.00002879263,0.0005220903,0.1334435],"genre_scores_gemma":[0.89416,0.0004484349,0.1005899,0.001078661,0.0000422157,0.0002152895,0.00002027139,0.0001057066,0.003339404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03573519,"threshold_uncertainty_score":0.188988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1575019915449454,"score_gpt":0.3069102541593094,"score_spread":0.149408262614364,"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."}}