{"id":"W4413548829","doi":"10.64628/aam.ddn4vw736","title":"Canada can better prepare to retrain workers displaced by disruptive technologies","year":2020,"lang":"en","type":"article","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Displaced workers; Disruptive technology; Business; Labour economics; Operations management; Engineering; Economics; Economic growth; Manufacturing engineering; Unemployment","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":[0.004452236,0.0005608316,0.0005719436,0.00230118,0.02287253,0.008107792,0.003302553,0.009984008,0.06863703],"category_scores_gemma":[0.01577016,0.000495848,0.001212704,0.002058852,0.002832878,0.003409932,0.006505329,0.009889394,0.007091229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05087382,"about_ca_system_score_gemma":0.468013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794679,"about_ca_topic_score_gemma":0.9945687,"domain_scores_codex":[0.9929084,0.0006926716,0.0001728602,0.0001995739,0.001288321,0.004738337],"domain_scores_gemma":[0.9683769,0.001349571,0.0006943941,0.0003947981,0.01236415,0.0168202],"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":[0.0001310787,0.0005963056,0.018687,0.0005340672,0.0000489988,0.000718186,0.003773003,0.0004392368,0.000645746,0.0186479,0.864518,0.0912606],"study_design_scores_gemma":[0.0001787067,0.0001921281,0.03420046,0.001410797,0.00006779036,0.0001304656,0.04384693,0.0002680485,0.0003327804,0.003796879,0.9154559,0.0001190457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03784147,0.006166636,0.001211055,0.7646158,0.01357736,0.0008471248,0.002179046,0.0003203196,0.1732412],"genre_scores_gemma":[0.1873565,0.01071904,0.005539612,0.3938868,0.001706955,0.0007340347,0.00148091,0.0002316241,0.3983444],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06863703,"threshold_uncertainty_score":0.3691171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110546342764212,"score_gpt":0.3461278486553714,"score_spread":0.3150223852277293,"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."}}