{"id":"W2736147467","doi":"","title":"WHAT DOES IT TAKE TO BENEFIT FROM OPEN INNOVATION?: THE ROLE OF EXTERNAL RELATIONS AND INTERNAL ACTIVITIES FOR INNOVATION PERFORMANCE","year":2012,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Open innovation; Business; Knowledge management; Industrial organization; Marketing; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.006643353,0.0003586111,0.0005268001,0.001351376,0.002496148,0.0146412,0.001409287,0.005163005,0.009912307],"category_scores_gemma":[0.02723548,0.0002011938,0.0006381859,0.001476649,0.007213776,0.01551523,0.005444791,0.00348621,0.001559695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602804,"about_ca_system_score_gemma":0.003876649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895503,"about_ca_topic_score_gemma":0.003066866,"domain_scores_codex":[0.9953054,0.001364979,0.0001504864,0.0003646348,0.0009174311,0.001897126],"domain_scores_gemma":[0.9552723,0.02069599,0.008157072,0.001470542,0.002695502,0.01170863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002015377,0.002659307,0.4072051,0.0008503454,0.000669888,0.001508256,0.01427952,0.003797861,0.003003491,0.2191266,0.02012889,0.3247553],"study_design_scores_gemma":[0.0002764349,0.0007837049,0.4586947,0.0009474549,0.0005620545,0.001420903,0.07372403,0.006362923,0.003988569,0.4156256,0.03735587,0.0002578864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8210512,0.003255818,0.002510461,0.07027976,0.0002609491,0.00004390539,0.0001942988,0.00007733404,0.1023263],"genre_scores_gemma":[0.9984953,0.0003097942,0.0001476477,0.0004668325,0.00009259042,0.000005118117,0.00001709759,0.00001184871,0.0004537837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146412,"threshold_uncertainty_score":0.03513384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06243003687305028,"score_gpt":0.3040135483314149,"score_spread":0.2415835114583646,"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."}}