{"id":"W3134234999","doi":"","title":"Policy Responses to Automation in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Lethbridge; University of Alberta","funders":"","keywords":"Work (physics); Emerging technologies; Closing (real estate); Automation; Emerging markets; Rural area; Business; Economics; Economic growth; Political science; Finance; Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006047053,0.00006271714,0.0001994397,0.0002115262,0.0001231747,0.00002957287,0.0001340578,0.00001844084,0.00002311305],"category_scores_gemma":[0.0002817887,0.00006146628,0.00001857345,0.0002612443,0.000008856531,0.0001072766,0.00008869653,0.0002029567,0.000009869034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006382105,"about_ca_system_score_gemma":0.002102729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1684749,"about_ca_topic_score_gemma":0.30336,"domain_scores_codex":[0.9991899,0.00006046387,0.000518984,0.00003819449,0.00006690398,0.0001255349],"domain_scores_gemma":[0.9994871,0.000100272,0.0001632732,0.00008394496,0.00006780509,0.00009758776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002027146,0.0002909877,0.7880629,0.00007429354,0.0001020001,0.0001493471,0.02029135,0.0003006652,0.0001822701,0.01881842,0.002653145,0.1688719],"study_design_scores_gemma":[0.0002125547,0.00002635035,0.9743527,0.00007198114,4.33364e-7,0.00006846081,0.004469687,0.000009628388,0.0003964633,0.004099917,0.01620084,0.00009097598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994158,0.0003936486,0.0001283416,0.004103198,0.00008422934,0.00002863198,0.000002160665,0.00000140781,0.001100348],"genre_scores_gemma":[0.9962531,0.000239477,0.002073246,0.0009666993,0.00001444874,0.000001924044,0.000001653693,0.000002859075,0.0004465466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1862898,"threshold_uncertainty_score":0.8370623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472855671980433,"score_gpt":0.2458827648165815,"score_spread":0.2111542080967772,"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."}}