{"id":"W3040479210","doi":"10.1002/smj.3217","title":"Organizational change and the dynamics of innovation: Formal R&amp;D structure and intrafirm inventor networks","year":2020,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Decentralization; Organizational structure; Corporation; Business; Industrial organization; Social connectedness; Economics; Economic geography; Microeconomics; Management; Market economy; Psychology; Social psychology; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003649136,0.0001372834,0.0002549588,0.001851774,0.0007702976,0.003583216,0.0006562887,0.000831447,0.004616383],"category_scores_gemma":[0.0324122,0.0001903353,0.0002379699,0.001364336,0.00292083,0.003307281,0.001936377,0.0006942797,0.0003138393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378076,"about_ca_system_score_gemma":0.001249437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040605,"about_ca_topic_score_gemma":0.002465273,"domain_scores_codex":[0.9967428,0.001591166,0.000217499,0.0004731764,0.0005949186,0.0003804949],"domain_scores_gemma":[0.9195181,0.039431,0.02809554,0.004399301,0.0035981,0.004957934],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000273589,0.0006492117,0.8704411,0.0001359867,0.0001620188,0.0002933283,0.005870055,0.01414279,0.00410226,0.05207099,0.0008576397,0.05100109],"study_design_scores_gemma":[0.00004598124,0.0002085222,0.9273828,0.00008709528,0.00005135158,0.0001871268,0.005353525,0.01831486,0.001547552,0.04242713,0.004351788,0.00004216093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888384,0.0002250447,0.002756109,0.0006776217,0.000006463618,0.00002056089,0.00004885916,0.00001901525,0.007408021],"genre_scores_gemma":[0.9994129,0.00003929051,0.0002875275,0.00001597842,0.000006635139,0.000005690787,0.00001703414,0.000001413688,0.000213556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963509,"threshold_uncertainty_score":0.01929867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178917173279948,"score_gpt":0.2242392118357145,"score_spread":0.182450040102915,"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."}}