{"id":"W2166906903","doi":"","title":"Business Dynamics and Productivity Growth with an Application to Taiwanese Electronics Firms","year":2009,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Productivity; Perspective (graphical); Dynamics (music); Corporate governance; Computer science; Industrial organization; Empirical research; Business ecosystem; Business process; Knowledge management; Data science; Business; Marketing; Economics; Artificial intelligence; Work in process; Finance; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002471142,0.0001004918,0.0001653223,0.0001291865,0.00007873194,0.00009115947,0.0001025659,0.00005416512,0.00002305883],"category_scores_gemma":[0.00004084979,0.0001050107,0.000009424575,0.0007841716,0.00002139506,0.000334824,0.00001309221,0.00008572933,0.00003607052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000078098,"about_ca_system_score_gemma":0.0000182498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002695641,"about_ca_topic_score_gemma":0.001287887,"domain_scores_codex":[0.9991682,0.000003410828,0.000210911,0.0004031866,0.00003077933,0.0001835006],"domain_scores_gemma":[0.999451,0.000005975643,0.0000948472,0.000264399,0.0001210217,0.00006275585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003048146,0.0001214244,0.04340397,0.00001239569,0.000005521234,3.569657e-7,0.00007360958,0.00002634553,0.00004958735,0.9485529,0.0001177929,0.007605586],"study_design_scores_gemma":[0.0004878383,0.0005207322,0.8367399,0.000004598096,0.000003364107,0.00001489739,0.00004025381,0.01220122,0.0001751174,0.1446967,0.004679702,0.0004357298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503684,0.00006725812,0.1304113,0.008816403,0.00003143064,0.0003649598,0.000018111,0.00008473258,0.009837385],"genre_scores_gemma":[0.9948581,0.00001621387,0.003078114,0.0008896136,0.0000486833,0.00001863623,0.0000466114,0.00001176196,0.001032307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8038563,"threshold_uncertainty_score":0.428221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957844162860281,"score_gpt":0.1980269842770389,"score_spread":0.1900691401141787,"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."}}