{"id":"W2977470757","doi":"10.1080/21681376.2019.1668292","title":"Manufacturing change and policy response in the contemporary economic landscape: how cities in Ontario, Canada, understand and plan for manufacturing","year":2019,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Toronto Metropolitan University","funders":"","keywords":"Context (archaeology); Scholarship; Economic geography; Regional science; Local economic development; Plan (archaeology); Manufacturing; Economic growth; Political science; Business; Economics; Geography; Marketing","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":[0.003000619,0.000239744,0.0003269999,0.001195382,0.02458269,0.009786949,0.002221577,0.001488636,0.003807141],"category_scores_gemma":[0.006331129,0.0003425023,0.0003596192,0.003311357,0.0128846,0.002523778,0.004682662,0.002319162,0.0002343668],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2023904,"about_ca_system_score_gemma":0.2191256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956162,"about_ca_topic_score_gemma":0.9986571,"domain_scores_codex":[0.9964166,0.001003092,0.0001036383,0.0002404121,0.000680764,0.001555456],"domain_scores_gemma":[0.9963129,0.0006805024,0.0003941222,0.0001338439,0.001165045,0.001313613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006211494,0.00007322014,0.0809393,0.0001806057,0.0000391078,0.0007434086,0.8426239,0.001848138,0.0008298034,0.03113123,0.01444725,0.02708185],"study_design_scores_gemma":[0.000006136475,0.00001634964,0.06936021,0.0001311074,0.0000160402,0.00003823541,0.8625578,0.000458012,0.0001423691,0.001380639,0.06584179,0.00005142443],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102242,0.001088486,0.0007266859,0.03149095,0.00005758355,0.0001174208,0.0002721859,0.00003167656,0.05599076],"genre_scores_gemma":[0.9923923,0.000549348,0.0004275805,0.0008418135,0.000003811454,0.00002494682,0.00007140492,0.00001624755,0.005672525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7976096,"threshold_uncertainty_score":0.9251141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1985627060478551,"score_gpt":0.3071827802907483,"score_spread":0.1086200742428932,"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."}}