{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002710454,0.00009470736,0.0001136783,0.00002258556,0.001560066,0.00008856942,0.000667261,0.00004860885,0.0003294832],"category_scores_gemma":[0.0001273234,0.00007029802,0.00007095826,0.00005714599,0.0003029504,0.0003218476,0.00004907816,0.0001368652,0.000003274336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007024378,"about_ca_system_score_gemma":0.001418989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944131,"about_ca_topic_score_gemma":0.9961085,"domain_scores_codex":[0.9991746,0.00007165466,0.0001216142,0.0001091843,0.0002776998,0.0002452315],"domain_scores_gemma":[0.999119,0.00005191832,0.0002003844,0.0004707747,0.00003602256,0.0001218668],"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":[0.00001957215,0.00001710715,0.004740235,0.000004454817,0.00003073478,0.00001117898,0.001012173,0.0000231833,0.00000369154,0.01106054,0.9754202,0.007656964],"study_design_scores_gemma":[0.0001472738,0.00001748979,0.308144,0.00002310618,0.000004786861,7.275515e-7,0.0002335201,0.00001511601,0.0000249255,0.000262832,0.6910598,0.00006639929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5946586,0.0001025408,0.000002338221,0.3398449,0.001545607,0.0002568398,0.0009435863,0.00001593198,0.06262964],"genre_scores_gemma":[0.9851214,0.0001241912,0.00001257852,0.0115156,0.0009754761,0.000005453358,0.000009873608,0.000005247639,0.002230203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3904628,"threshold_uncertainty_score":0.9997398,"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."}}