{"id":"W7132952489","doi":"","title":"Varieties of Embeddedness: Essays on Technological Transition in Automotive Regions","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Context (archaeology); Path dependence; Competition (biology); Variety (cybernetics); Technological change; High tech; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000833818,0.0003635016,0.0008041647,0.0003374518,0.0003362937,0.00006106545,0.0003640868,0.00142212,0.001594996],"category_scores_gemma":[0.0004472957,0.0003850366,0.0002106189,0.0009592212,0.0005947406,0.0001187074,0.00003266247,0.00084453,0.00006593861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193299,"about_ca_system_score_gemma":0.001165832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855397,"about_ca_topic_score_gemma":0.002307519,"domain_scores_codex":[0.9973556,0.0003696971,0.0007327593,0.000663391,0.0003994929,0.0004790864],"domain_scores_gemma":[0.9986837,0.0002504729,0.0005091085,0.0002499544,0.0001999121,0.0001068751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004115801,0.00091718,0.0001072506,0.0001568973,0.0001612229,0.00007196236,0.8213686,0.0005713117,0.0001199904,0.1548106,0.001291458,0.0200119],"study_design_scores_gemma":[0.000642762,0.0001779697,0.001243033,0.0009749642,0.00005646525,0.000001311194,0.9824907,0.00008747249,0.001688907,0.009617591,0.002522132,0.0004967026],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712483,0.0002183403,0.0003486123,0.007703883,0.001988109,0.0009953035,0.00001868329,0.0000988012,0.31738],"genre_scores_gemma":[0.9719643,0.0005819104,0.0001999523,0.00007043926,0.0001285775,0.00008971948,0.0001847118,0.00002199314,0.02675842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.300716,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180387025936508,"score_gpt":0.3426777499024339,"score_spread":0.3008738796430688,"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."}}