{"id":"W2399750592","doi":"","title":"Value Cocreation Modeling: Supporting the Analysis and Design of B2B Service Engagements through Agent Orientation and Business Intelligence.","year":2014,"lang":"en","type":"article","venue":"iStar","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Service (business); Knowledge management; Service-orientation; Business intelligence; Computer science; Key (lock); Business model; Value (mathematics); Process management; Business; Marketing; Computer security","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":[0.0010838,0.0001044349,0.0001407649,0.0001487441,0.0002083692,0.0001371869,0.00009731206,0.000031454,0.0000301565],"category_scores_gemma":[0.0001443061,0.00008216376,0.00001715286,0.001585078,0.00002088969,0.0007232052,0.00006824492,0.00005498824,0.000006561618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008873359,"about_ca_system_score_gemma":0.000007804269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886651,"about_ca_topic_score_gemma":0.00009955563,"domain_scores_codex":[0.9991193,0.00003551286,0.0003205421,0.0002221514,0.0001859898,0.0001165428],"domain_scores_gemma":[0.9989665,0.00005976959,0.0002861358,0.000186371,0.000496884,0.000004412658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003865776,0.0002596981,0.08635182,0.002730102,0.001075893,0.00000242354,0.01340202,0.5847376,0.007093397,0.2050695,0.0003496912,0.09854132],"study_design_scores_gemma":[0.0001818637,0.000008164663,0.01554034,0.00003255949,0.0005996802,3.788042e-7,0.002064483,0.9550356,0.0005844883,0.02474818,0.001053031,0.0001512672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5462172,0.00004187558,0.4513439,0.001693745,0.00007848872,0.000206269,7.512927e-7,0.00002259205,0.0003952003],"genre_scores_gemma":[0.994432,0.00003582984,0.002487833,0.002713063,0.0001990721,0.000009957239,0.00009862523,0.000009989839,0.00001358518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.448856,"threshold_uncertainty_score":0.4363772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05454877059599219,"score_gpt":0.2801358927142764,"score_spread":0.2255871221182842,"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."}}