{"id":"W1992602789","doi":"10.17323/1995-459x.2008.3.16.31","title":"Оpen and Closed Innovation: A Comparative Analysis of National Practices","year":2008,"lang":"en","type":"article","venue":"Foresight-Russia","topic":"Digital Economy and Transformation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Knowledge management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004011949,0.00008258264,0.0003413684,0.005623376,0.0009876225,0.003010558,0.0004750488,0.0003574905,0.001991387],"category_scores_gemma":[0.01897485,0.0001401657,0.0003554291,0.008423299,0.002107413,0.003218237,0.002603789,0.000405435,0.0001905926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922157,"about_ca_system_score_gemma":0.001683519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005901237,"about_ca_topic_score_gemma":0.008558881,"domain_scores_codex":[0.9966376,0.001009764,0.0004715292,0.00050483,0.0009355664,0.0004406951],"domain_scores_gemma":[0.9715127,0.01612629,0.006299479,0.002635648,0.002511202,0.0009147965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002288581,0.0001080052,0.7448071,0.0004279815,0.0001212838,0.0004307922,0.0551686,0.0008075899,0.001662156,0.0296072,0.0005615933,0.1660687],"study_design_scores_gemma":[0.000007371921,0.0001260141,0.9399434,0.000209781,0.00005418466,0.0005144703,0.03541267,0.000648919,0.0009834417,0.003591236,0.01848117,0.00002738977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825904,0.0009588217,0.0007709854,0.0001229779,0.000004430078,0.00001330321,0.0001725468,0.000008965406,0.0153575],"genre_scores_gemma":[0.9979917,0.0006081944,0.0005404108,0.00001808473,0.00000260908,0.00001293425,0.0001765765,0.000005964985,0.0006435356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005901237,"threshold_uncertainty_score":0.02121747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08569814039237166,"score_gpt":0.2853841807850993,"score_spread":0.1996860403927276,"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."}}