{"id":"W3124464099","doi":"","title":"Commercialisation of New Knowledge within Universities: Exploring Performance Disparities","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Entrepreneurship; Context (archaeology); Technology transfer; Reliability (semiconductor); Innovation process; Process (computing); Marketing; Human resources; Business; Knowledge transfer; Knowledge management; Economics; Management; Computer science; Geography; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006685162,0.0001075967,0.000337891,0.002572933,0.001421847,0.003611649,0.0005765793,0.0005222927,0.003026036],"category_scores_gemma":[0.02242536,0.00008475776,0.0001691557,0.003529265,0.0020382,0.002926878,0.004407652,0.0005739374,0.0002630925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585944,"about_ca_system_score_gemma":0.001429795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005688762,"about_ca_topic_score_gemma":0.00548586,"domain_scores_codex":[0.9957968,0.001742655,0.0002491158,0.0003572719,0.001079266,0.0007748829],"domain_scores_gemma":[0.9857919,0.008462035,0.002600483,0.0005514121,0.001355815,0.001238357],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001808206,0.0003407403,0.9043686,0.00005747397,0.00006268131,0.0001265487,0.03049172,0.0003645384,0.0006085205,0.009137187,0.0005868974,0.05367412],"study_design_scores_gemma":[0.00001060555,0.0001712967,0.9387835,0.00004997241,0.00002583376,0.0001118933,0.05213782,0.001806174,0.0007991265,0.003194394,0.002889116,0.00002027117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959733,0.0001037619,0.0001247706,0.0002659588,0.000003035246,0.000003856536,0.00002356996,0.000001172187,0.003500654],"genre_scores_gemma":[0.9997717,0.00003269041,0.00002139062,0.00001286499,0.000003621632,0.000002077274,0.00001403659,8.738884e-7,0.0001408448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9933149,"threshold_uncertainty_score":0.03535497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05072473106058249,"score_gpt":0.2326357828519816,"score_spread":0.1819110517913991,"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."}}