{"id":"W4407219554","doi":"10.3138/9781487527389-009","title":"7 From Automotive to Mobility Value Chains: Variety of Embeddedness and Regional Value Capture in Baden-Wurttemberg, Michigan, and Ontario","year":2024,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embeddedness; Value (mathematics); Automotive industry; Variety (cybernetics); Economic geography; Geography; Regional science; Sociology; Engineering; Mathematics; Social science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002415942,0.0004609188,0.0002242538,0.001994304,0.003031367,0.005899757,0.0006100592,0.0007247702,0.01987216],"category_scores_gemma":[0.0004019484,0.0003250058,0.0002805724,0.006829202,0.002692041,0.002550018,0.001453297,0.0007707984,0.001489657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0421975,"about_ca_system_score_gemma":0.01833641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9012933,"about_ca_topic_score_gemma":0.9734368,"domain_scores_codex":[0.9994769,0.00003083616,0.00001088991,0.00005930044,0.0002401457,0.0001820489],"domain_scores_gemma":[0.999821,0.00002144378,0.00001694722,0.00001184613,0.00007816163,0.00005056173],"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":[0.00008278633,0.00002811644,0.009189065,0.0003430829,0.00002402598,0.0006011429,0.02284046,0.001049616,0.002083987,0.5146462,0.2276509,0.2214606],"study_design_scores_gemma":[0.000005724145,0.00001282112,0.01775116,0.000297105,0.00001340462,0.0001573048,0.006835823,0.0002251907,0.0003473069,0.01242326,0.9619095,0.00002129414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02690452,0.02386982,0.0009625094,0.006809182,0.0002060166,0.00003011411,0.0007640841,0.00005731896,0.9403964],"genre_scores_gemma":[0.3083363,0.02397544,0.001113066,0.0008740795,0.0001078169,0.00003644256,0.0008666349,0.0001050282,0.6645853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09870672,"threshold_uncertainty_score":0.3061657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615892532878247,"score_gpt":0.2116508394595455,"score_spread":0.195491914130763,"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."}}