{"id":"W2793508830","doi":"10.12735/jfe.v8n1p24","title":"A Dynamically Engaged University, Knowledge Spillovers, and the Local Economy","year":2018,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge economy; Economic geography; Business; Knowledge management; Economics; Economy; Computer science","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":[0.001750226,0.0001731052,0.0002408696,0.001500284,0.004636927,0.007304306,0.000692479,0.001303521,0.009829475],"category_scores_gemma":[0.003187893,0.0001510474,0.0001801558,0.001318244,0.008730586,0.006522892,0.008024753,0.0009698583,0.0005804194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003224053,"about_ca_system_score_gemma":0.003007001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268551,"about_ca_topic_score_gemma":0.00415474,"domain_scores_codex":[0.9988052,0.0006942185,0.00001956941,0.0001037623,0.0001071701,0.000270126],"domain_scores_gemma":[0.997852,0.0007553102,0.0002635385,0.0001757374,0.0001575964,0.000795904],"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":[0.00006416888,0.00012882,0.007421457,0.000116944,0.0000173284,0.0007509601,0.01632297,0.001833133,0.0004213874,0.934787,0.003001973,0.03513383],"study_design_scores_gemma":[0.00003418223,0.000196714,0.01617366,0.0003913981,0.00003049066,0.0005157992,0.07530171,0.003946963,0.0006426959,0.749563,0.1531385,0.000064921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5131476,0.001835273,0.01915016,0.02064351,0.0001164393,0.00009371353,0.0001015406,0.0001088804,0.444803],"genre_scores_gemma":[0.9938022,0.0003708762,0.0007949116,0.0002785146,0.0000267394,0.0000257308,0.00001179938,0.000005646268,0.004683571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009829475,"threshold_uncertainty_score":0.03288281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102678919285534,"score_gpt":0.2274789224273713,"score_spread":0.2172110304988179,"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."}}