{"id":"W4413522947","doi":"10.64628/aam.5ssgp9t9m","title":"Canada’s new Tech Talent Strategy aims to attract workers from around the world","year":2023,"lang":"en","type":"article","venue":"","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"High tech; Business; Talent management; Economic geography; Management; Marketing; Political science; Economics","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":[0.001683926,0.0008519844,0.0005447654,0.003109925,0.009357199,0.007332921,0.001374461,0.003225659,0.02338],"category_scores_gemma":[0.00364702,0.0004232815,0.0006658036,0.002364718,0.001649888,0.001000593,0.002047106,0.002698811,0.006257365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04438914,"about_ca_system_score_gemma":0.2372085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714892,"about_ca_topic_score_gemma":0.992974,"domain_scores_codex":[0.9958794,0.0001555769,0.00003902576,0.0001239772,0.00248274,0.001319173],"domain_scores_gemma":[0.9874034,0.0003830214,0.0001643965,0.0001070329,0.004325246,0.007616785],"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":[0.0001162632,0.0001987253,0.007640042,0.0001404896,0.00003008682,0.0002405586,0.0006554532,0.0003009407,0.001021143,0.0185784,0.9258826,0.04519532],"study_design_scores_gemma":[0.00004687573,0.00007081035,0.01882168,0.0000683441,0.00001629673,0.00007192153,0.001767432,0.000869456,0.0006634129,0.0009138028,0.9766445,0.00004547695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.06549678,0.003935853,0.004551742,0.1676454,0.007686425,0.0008391445,0.01193313,0.002462815,0.7354488],"genre_scores_gemma":[0.08372484,0.001762889,0.003248614,0.01668254,0.000268796,0.000103688,0.002218189,0.0002405592,0.8917497],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04438914,"threshold_uncertainty_score":0.3220673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417236380667562,"score_gpt":0.2392554101297058,"score_spread":0.2050830463230302,"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."}}