{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005328741,0.0001055524,0.0001221884,0.0002309599,0.00008814496,0.0003103522,0.0001169513,0.00006424876,0.0001319714],"category_scores_gemma":[0.00002176002,0.0001015628,0.000007856777,0.001084236,0.00002306268,0.004446872,0.00001989666,0.00008147727,0.0001196078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002560735,"about_ca_system_score_gemma":0.00001421584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400358,"about_ca_topic_score_gemma":0.0001200473,"domain_scores_codex":[0.9992343,0.000008901031,0.0002798724,0.0001546776,0.000110996,0.0002113153],"domain_scores_gemma":[0.9995719,0.000009387702,0.0001770701,0.0001105206,0.0001253211,0.000005838114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006221965,0.0001428869,0.277113,0.0001405116,0.000007699413,0.000001024257,0.0003593145,0.00001022331,0.001089677,0.661769,0.003034424,0.05627001],"study_design_scores_gemma":[0.0009037242,0.00002817762,0.9448712,0.00007049823,0.00001010962,0.00000142406,0.0005237262,0.001655191,0.00004513432,0.008389884,0.04327776,0.0002232074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626586,0.0000644558,0.0008606982,0.001544691,0.0003133849,0.0003062664,8.570279e-7,0.00003531656,0.03421569],"genre_scores_gemma":[0.9971372,0.000002608738,0.0002005246,0.001800172,0.0005491301,0.00002125109,0.00008553869,0.00001159813,0.0001919153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6677582,"threshold_uncertainty_score":0.4141611,"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."}}