{"id":"W3007785081","doi":"10.3138/cpp.2019-015","title":"Frontier Technologies in Non-Core Automotive Regions: Autonomous Vehicle R&D in Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive industry; Frontier; Business; Industrial organization; Core (optical fiber); Deindustrialization; Work (physics); Value (mathematics); Marketing; Economics; Economy; Engineering; Computer science; Telecommunications; Geography; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009471623,0.0002864299,0.0002749279,0.003915236,0.005718614,0.004943429,0.0009968593,0.000725621,0.002399809],"category_scores_gemma":[0.002237427,0.0002326638,0.0003585559,0.008789501,0.002060367,0.001037634,0.001797625,0.0007318115,0.0003317597],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09097254,"about_ca_system_score_gemma":0.1558118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913837,"about_ca_topic_score_gemma":0.9964623,"domain_scores_codex":[0.9974781,0.00009773493,0.0000777554,0.0002861107,0.0009796548,0.001080585],"domain_scores_gemma":[0.9951336,0.000476857,0.0005559844,0.000143492,0.001864061,0.001826013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000634542,0.0002583507,0.5532751,0.001117931,0.0001909608,0.009896492,0.03633783,0.00727753,0.009523682,0.1053489,0.02840539,0.2477333],"study_design_scores_gemma":[0.000035787,0.0001350231,0.712664,0.0002916212,0.0001038033,0.00140639,0.04181502,0.001632866,0.004255815,0.001447903,0.2361046,0.0001071949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931903,0.006783844,0.0008784411,0.005072796,0.00004880095,0.0001318403,0.003149832,0.00007734128,0.0906668],"genre_scores_gemma":[0.9815614,0.003761566,0.000828598,0.0004520416,0.000006833616,0.00001276741,0.000734677,0.00001470403,0.01262746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9090275,"threshold_uncertainty_score":0.660055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178817673570583,"score_gpt":0.2422189653512662,"score_spread":0.2104307886155604,"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."}}