{"id":"W3125044495","doi":"","title":"Future Shock? The Impact of Automation on Canada’s Labour Market","year":2017,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technological change; Workforce; Pace; Unemployment; Technical change; Productivity; Labour economics; Economics; Business; Industrial organization; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00164199,0.0004004093,0.0005313217,0.001591067,0.01672905,0.009248266,0.002654895,0.004155746,0.01169175],"category_scores_gemma":[0.007012778,0.0002231681,0.0009060774,0.003176194,0.004679943,0.002674855,0.001831059,0.004401801,0.0009194714],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1747684,"about_ca_system_score_gemma":0.3006226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974721,"about_ca_topic_score_gemma":0.9981456,"domain_scores_codex":[0.9944878,0.0002525452,0.0001125124,0.0003556888,0.002642647,0.002148782],"domain_scores_gemma":[0.9933287,0.0007936309,0.0002285195,0.0001234894,0.004095968,0.001429761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000217209,0.00006370952,0.03735273,0.0009508402,0.00006239973,0.001096828,0.01464587,0.002426937,0.0006579136,0.1586506,0.6695882,0.1142868],"study_design_scores_gemma":[0.00003246346,0.0000437119,0.07110965,0.001386279,0.00004839929,0.000179949,0.02028584,0.001722123,0.0002845542,0.008834743,0.8959005,0.0001716405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09277474,0.02870024,0.0008980347,0.7008762,0.005719888,0.00008862406,0.005441843,0.0001506297,0.1653498],"genre_scores_gemma":[0.7562661,0.03808294,0.001295375,0.1300814,0.002260649,0.00006476673,0.001992643,0.0001358172,0.06982035],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1747684,"threshold_uncertainty_score":0.9571517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779385804316012,"score_gpt":0.3071253687158971,"score_spread":0.2893315106727369,"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."}}