{"id":"W1996451785","doi":"10.4236/ti.2011.24026","title":"An Analysis of Enterprise Value Growth: A Dynamic Equilibrium Model Based on Adaptive Innovation","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Phenomenon; Process (computing); Computer science; Dynamic equilibrium; Action (physics); Process management; Industrial organization; Economics; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009901744,0.0004384638,0.0005052112,0.0009913372,0.0006991846,0.002081262,0.001146159,0.001115957,0.004435605],"category_scores_gemma":[0.002506047,0.0002245561,0.0008109203,0.0008555203,0.001587717,0.003641105,0.001225462,0.0009926812,0.0003847782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998534,"about_ca_system_score_gemma":0.001287431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004873047,"about_ca_topic_score_gemma":0.002446615,"domain_scores_codex":[0.9995473,0.0001644107,0.0000152584,0.00008369867,0.00009216553,0.00009714357],"domain_scores_gemma":[0.9992979,0.000368157,0.00009835197,0.00003307102,0.0001145707,0.00008795287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002931623,0.00005176672,0.00191196,0.00006474039,0.00004054349,0.0003148406,0.0005853988,0.1873449,0.001175369,0.7978644,0.0009389786,0.009677798],"study_design_scores_gemma":[0.00001143942,0.00003796479,0.0008130859,0.00002124927,0.00001663836,0.00008670517,0.0002642522,0.7571567,0.0001889525,0.2389624,0.002417007,0.00002364134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2094213,0.001239671,0.69416,0.003332147,0.00009866839,0.0001239851,0.0001608242,0.0001387271,0.09132474],"genre_scores_gemma":[0.9777109,0.0006275854,0.01278968,0.00006188206,0.00003817555,0.00008533496,0.00004024327,0.000021262,0.008624824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004873047,"threshold_uncertainty_score":0.01483858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739228419049197,"score_gpt":0.2910132566007514,"score_spread":0.2436209724102594,"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."}}