{"id":"W2571932514","doi":"10.2139/ssrn.2899547","title":"University Licensing and the Flow of Scientific Knowledge","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada; Artificial Intelligence in Medicine (Canada)","funders":"Australian Government","keywords":"License; Sample (material); Intellectual property; Library science; Technology transfer; Political science; Computer science; Law; Knowledge management; Chemistry","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":[0.001603834,0.00006705217,0.00009569938,0.0001231954,0.0004620408,0.00009232047,0.000181557,0.00002625795,0.00005938622],"category_scores_gemma":[0.0001184065,0.0000324034,0.00005603708,0.0002225408,0.0002681877,0.0004390762,0.00008528466,0.0002743517,0.00009541177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007980139,"about_ca_system_score_gemma":0.0001973424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006814101,"about_ca_topic_score_gemma":0.0004072255,"domain_scores_codex":[0.9990782,0.00002820644,0.0001037788,0.0001017774,0.0001017687,0.0005863323],"domain_scores_gemma":[0.9995785,0.00006249806,0.0001010992,0.00008414694,0.0001673861,0.000006390329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001024123,0.00008428912,0.00216875,0.00004327584,0.0001930087,0.00000326713,0.0005724393,0.00000557968,0.003231536,0.677696,0.001915818,0.3130619],"study_design_scores_gemma":[0.01498416,0.0001550898,0.00204585,0.0006108778,0.0004604731,0.0002942395,0.006686829,0.01257275,0.001040938,0.5432852,0.41706,0.0008035877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713626,0.001327337,0.003971233,0.002244908,0.000562143,0.0001260647,6.395473e-7,0.0000222226,0.02038285],"genre_scores_gemma":[0.9922346,0.0003024995,0.000008428784,0.00005196503,0.0002711473,7.163371e-8,3.135452e-7,0.000006080768,0.007124891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4151442,"threshold_uncertainty_score":0.3553691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471441612842392,"score_gpt":0.1892438137986106,"score_spread":0.1545293976701866,"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."}}