{"id":"W4388828895","doi":"10.1080/13567888.2023.2286159","title":"Canada’s bid to attract technology talent","year":2023,"lang":"en","type":"article","venue":"Strategic Comments","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Workforce; Immigration; Government (linguistics); Business; Workforce development; Economic growth; Marketing; Political science; Economics","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":[0.003979559,0.001044561,0.0004879438,0.001716379,0.01677539,0.00960282,0.001547776,0.01612557,0.02555597],"category_scores_gemma":[0.01007822,0.000572213,0.0009757617,0.001481342,0.004057957,0.002688786,0.002359078,0.01174741,0.005158686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0505335,"about_ca_system_score_gemma":0.2732261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9659872,"about_ca_topic_score_gemma":0.9844958,"domain_scores_codex":[0.9914327,0.0003403848,0.0001228683,0.0003548872,0.005489673,0.002259437],"domain_scores_gemma":[0.9839084,0.0011844,0.0001471251,0.0001537714,0.006793549,0.007812846],"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":[0.00001431813,0.00001644086,0.0003943889,0.00003161195,0.000004080282,0.00007101017,0.0002092151,0.00003979144,0.0001699057,0.005551515,0.9883,0.005197775],"study_design_scores_gemma":[0.00002033219,0.00001704401,0.001476592,0.00004601114,0.000006366814,0.00002737196,0.0007329532,0.00008415829,0.0001477693,0.0006081741,0.996808,0.00002531364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003194724,0.002717647,0.0003572562,0.8685084,0.01610722,0.0001035742,0.0009629903,0.0002220759,0.1078261],"genre_scores_gemma":[0.0207137,0.002691134,0.0009960837,0.4961105,0.001561952,0.00005675682,0.000550127,0.0001434533,0.4771763],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0505335,"threshold_uncertainty_score":0.366648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070207825201316,"score_gpt":0.4579942552250685,"score_spread":0.3509734727049369,"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."}}