{"id":"W2265788877","doi":"10.18260/1-2--19042","title":"A Comparative Analysis of Technology Innovation Centers of Excellence Across the World: Secrets to Success","year":2020,"lang":"en","type":"article","venue":"","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Council for Canadian Studies; Purdue University; American Society for Engineering Education","keywords":"Excellence; Innovation management; Patent analysis; Computer science; Data science; Business; Knowledge management; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.009136997,0.0004042987,0.0009502437,0.02358985,0.002935658,0.01207585,0.001258937,0.001011253,0.005635655],"category_scores_gemma":[0.04117455,0.0002045268,0.0006390997,0.02988997,0.003811726,0.007852768,0.007866262,0.0008425103,0.0007610368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004518387,"about_ca_system_score_gemma":0.004014596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005681363,"about_ca_topic_score_gemma":0.007823928,"domain_scores_codex":[0.9873297,0.002856024,0.0008107927,0.0006349505,0.006014183,0.002354343],"domain_scores_gemma":[0.9360853,0.02443561,0.01244554,0.002267091,0.01825667,0.006509793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007010987,0.0002598398,0.7545035,0.0004037622,0.0005785582,0.0007342222,0.02128409,0.001474655,0.0004871531,0.09023779,0.007621627,0.1217137],"study_design_scores_gemma":[0.00004821498,0.0003029538,0.9192401,0.0002566212,0.0001821936,0.000354858,0.0544696,0.001724798,0.0002999665,0.007793505,0.0152511,0.00007619618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320431,0.002997444,0.0007609612,0.001416889,0.00006773834,0.00007280464,0.0005693921,0.00003524035,0.06203652],"genre_scores_gemma":[0.9986132,0.0003514846,0.0001198082,0.00003233613,0.00001528321,0.000018332,0.0002041027,0.0000109839,0.0006344896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02358985,"threshold_uncertainty_score":0.0483216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957966875659134,"score_gpt":0.284094878136215,"score_spread":0.2445152093796237,"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."}}