{"id":"W4385466480","doi":"10.1051/e3sconf/202340904003","title":"The Impact of Knowledge Spillover from Universities in Sichuan-Chongqing Region on Regional Innovation Capacity","year":2023,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Sichuan University","keywords":"Spillover effect; Knowledge spillover; Knowledge transfer; Human capital; Business; Regional innovation system; Technology transfer; Capital (architecture); Innovation system; Regional science; Knowledge management; Industrial organization; Economic growth; Economics; Geography; Computer science","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":[0.0002138012,0.00009165795,0.0001588851,0.0004989529,0.00009247539,0.00004506449,0.0001775996,0.00004133669,0.0001702042],"category_scores_gemma":[0.00006143688,0.00006015071,0.00008011047,0.001383489,0.0001305194,0.0003964663,0.00004770708,0.00008832034,0.00007118627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002973182,"about_ca_system_score_gemma":0.0001766896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005605358,"about_ca_topic_score_gemma":0.0008002167,"domain_scores_codex":[0.9993757,0.00001183782,0.0002222586,0.0001073103,0.0001589932,0.0001238852],"domain_scores_gemma":[0.9992281,0.0001783711,0.0002101559,0.0001034426,0.000276691,0.000003210516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005832935,0.0001876157,0.48621,0.0001628139,0.0003509179,0.000007857635,0.003496291,0.001778942,0.002818194,0.4541752,0.0360675,0.01416136],"study_design_scores_gemma":[0.0008824504,0.0001727658,0.8410138,0.0005358254,0.00006468181,4.021629e-7,0.01361366,0.07902625,0.001421762,0.04129186,0.02155655,0.0004200129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468777,0.00003396751,0.000006037521,0.0002180373,0.00008695616,0.00004529669,0.000003046584,0.00001676591,0.05271222],"genre_scores_gemma":[0.9991687,0.00006568294,0.000001247332,0.00003204814,0.0001631809,0.000001426282,0.00003481481,0.000003677357,0.0005292288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4128834,"threshold_uncertainty_score":0.8473662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06339349428225452,"score_gpt":0.2690110410999603,"score_spread":0.2056175468177057,"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."}}