{"id":"W2098934250","doi":"10.1287/orsc.1090.0426","title":"Unpacking Organizational Ambidexterity: Dimensions, Contingencies, and Synergistic Effects","year":2009,"lang":"en","type":"article","venue":"Organization Science","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":1407,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ambidexterity; Conceptualization; Ambiguity; Construct (python library); Dimension (graph theory); Unpacking; Business; Resource (disambiguation); Balance (ability); Industrial organization; Yield (engineering); Knowledge management; Microeconomics; Computer science; Economics; Psychology","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":[0.003629264,0.0004864946,0.0005920717,0.002788414,0.0007958664,0.003217943,0.0003650513,0.0006000046,0.002408503],"category_scores_gemma":[0.007836868,0.0003566317,0.0005584469,0.001648589,0.004955044,0.002829856,0.005321326,0.0009525429,0.000129719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008410508,"about_ca_system_score_gemma":0.001139641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003595261,"about_ca_topic_score_gemma":0.0008257598,"domain_scores_codex":[0.9973109,0.001063071,0.0002110952,0.0002881977,0.0008387748,0.0002880087],"domain_scores_gemma":[0.9861274,0.00814807,0.002269557,0.00130971,0.0006460476,0.001499278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006759929,0.0008750559,0.6025077,0.0006639193,0.0007767197,0.0007380961,0.003898713,0.01070419,0.01205373,0.2208278,0.0004435921,0.1458344],"study_design_scores_gemma":[0.00009558823,0.001022735,0.7077941,0.0003237257,0.0004542502,0.001046193,0.005378284,0.01005799,0.002775423,0.2658968,0.005006505,0.0001485081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554905,0.001391901,0.008032649,0.001021936,0.00003036048,0.00004634721,0.00007821171,0.00003079709,0.03387734],"genre_scores_gemma":[0.9983381,0.0001761201,0.00131438,0.00003417544,0.00001188464,0.00001442714,0.000015861,0.000002649919,0.00009234507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003629264,"threshold_uncertainty_score":0.01919365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006817154551700177,"score_gpt":0.2094174826503284,"score_spread":0.2026003280986282,"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."}}