{"id":"W4386571253","doi":"10.1108/md-06-2022-0799","title":"Identification and analysis of enterprise risks in the open product innovation: the case of Volkswagen Brazil","year":2023,"lang":"en","type":"article","venue":"Management Decision","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Originality; Business; Product (mathematics); Process (computing); Identification (biology); Product innovation; Open innovation; Value (mathematics); Process management; Knowledge management; Marketing; Computer science; Sociology; Qualitative research","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":[0.004730219,0.0001331844,0.000248327,0.001775138,0.0001934763,0.000410628,0.0008303498,0.0000234953,0.00004691412],"category_scores_gemma":[0.0001777334,0.00008425823,0.00006831859,0.008943493,0.00006331079,0.0004483071,0.001079034,0.0000761852,0.0000259758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001491174,"about_ca_system_score_gemma":0.00000308658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009433205,"about_ca_topic_score_gemma":0.0003655049,"domain_scores_codex":[0.9983671,0.00005539455,0.000674005,0.0003603441,0.0003750705,0.0001681267],"domain_scores_gemma":[0.9985212,0.0001738752,0.0003618008,0.0008092881,0.0001298441,0.000003959804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002151489,0.0003933034,0.4117505,0.0006522265,0.001143991,0.0004656671,0.002217499,0.01835911,0.0001063904,0.08662129,0.04524123,0.4328336],"study_design_scores_gemma":[0.0007038558,0.00001099105,0.9110963,0.00007592163,0.0009878002,0.000002504267,0.006519612,0.05400831,0.00001918484,0.009291962,0.01710781,0.0001757882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98524,0.00004660992,0.004180042,0.003282191,0.0001635094,0.001305182,0.000005908539,0.00003271131,0.005743859],"genre_scores_gemma":[0.9987246,0.00004743518,0.00009260792,0.0004905664,0.00005492774,0.00007582738,0.00006167922,0.00001099807,0.0004413641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4993457,"threshold_uncertainty_score":0.4297052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355646733069257,"score_gpt":0.3271832917609419,"score_spread":0.2836268244302493,"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."}}