{"id":"W3123250292","doi":"10.1177/0308518x20987233","title":"Automotive regions in transition: Preparing for connected and automated vehicles","year":2021,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automotive industry; Intersection (aeronautics); Control reconfiguration; Path (computing); Field (mathematics); Computer science; Industrial organization; Business; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003720158,0.0001013889,0.00008992348,0.0004218529,0.002741087,0.003198025,0.0005038526,0.0006616908,0.00323429],"category_scores_gemma":[0.001166418,0.0001039175,0.0001845803,0.0008381092,0.002549863,0.001233665,0.002089746,0.0007394665,0.0002404704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01396467,"about_ca_system_score_gemma":0.0158627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5846946,"about_ca_topic_score_gemma":0.7279276,"domain_scores_codex":[0.9994449,0.0001112033,0.000007530069,0.00003815946,0.00004893692,0.0003492153],"domain_scores_gemma":[0.9995494,0.00005945028,0.00007418788,0.00001960627,0.00008531517,0.0002119738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005567504,0.000237952,0.2096799,0.0004390662,0.00006290158,0.007752102,0.2679051,0.006126052,0.006177503,0.3640132,0.01591404,0.1211354],"study_design_scores_gemma":[0.00003566345,0.0001248503,0.2594486,0.0002624356,0.0000380709,0.0007234726,0.5315127,0.001106407,0.001136969,0.01055907,0.1949959,0.0000559407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455243,0.0007047585,0.0006268404,0.00333136,0.00002898818,0.00003226029,0.00007843651,0.00001419759,0.04965882],"genre_scores_gemma":[0.9981614,0.0002006946,0.0001498613,0.0001054466,0.000001887982,0.000004044835,0.00002577055,0.000002711118,0.00134817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5846946,"threshold_uncertainty_score":0.8355025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628751347930826,"score_gpt":0.2071719406238912,"score_spread":0.190884427144583,"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."}}