{"id":"W3147862767","doi":"10.2307/41410418","title":"Value Cocreation and Wealth Spillover in Open Innovation Alliances1","year":2012,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Open innovation; Spillover effect; Value (mathematics); Business; Industrial organization; Value creation; Knowledge spillover; Marketing; Knowledge management; Economics; Microeconomics; 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":[0.002446428,0.0003264426,0.000508455,0.002211655,0.0008362525,0.002618631,0.0005182165,0.0007553516,0.005416614],"category_scores_gemma":[0.0133376,0.0001734323,0.0003862132,0.001593847,0.002624623,0.003337443,0.003420816,0.0007545804,0.0002153848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111519,"about_ca_system_score_gemma":0.0004853508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006628029,"about_ca_topic_score_gemma":0.0009347742,"domain_scores_codex":[0.9987174,0.0005873183,0.00005925951,0.0001468117,0.0002503535,0.0002387922],"domain_scores_gemma":[0.9794753,0.01049693,0.006506442,0.001067981,0.000699093,0.001754341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006849067,0.001416691,0.5302763,0.00044441,0.0003949541,0.003467993,0.007390516,0.01511225,0.006963403,0.2812905,0.001154488,0.1514037],"study_design_scores_gemma":[0.0001277002,0.00114934,0.5643737,0.0003518788,0.0003347668,0.001780617,0.01067102,0.04393434,0.003151354,0.3656974,0.008316667,0.0001113005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702693,0.001000106,0.007768441,0.0002866356,0.00001373478,0.00004985609,0.00004444716,0.00001151059,0.02055598],"genre_scores_gemma":[0.9988593,0.0001451621,0.0004674043,0.0000158646,0.0000107729,0.00001171858,0.00001669834,8.184069e-7,0.0004722324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005416614,"threshold_uncertainty_score":0.01812035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255090790053469,"score_gpt":0.2732236561661632,"score_spread":0.2406727482656285,"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."}}