{"id":"W3083849584","doi":"","title":"Labour Market Barriers and Solutions for Internationally EducatedResearchers in Canada: Social and Health Implications","year":2020,"lang":"en","type":"article","venue":"EC Emergency Medicine and Critical Care","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Business","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":[0.009346124,0.0004563479,0.0006743126,0.002308242,0.02426343,0.01194199,0.004133854,0.004106398,0.01804145],"category_scores_gemma":[0.0214987,0.0004695869,0.0007096187,0.004519314,0.008844257,0.003687853,0.01040118,0.006059552,0.0005273525],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06616176,"about_ca_system_score_gemma":0.255288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9208567,"about_ca_topic_score_gemma":0.96447,"domain_scores_codex":[0.9850867,0.002589541,0.0004566211,0.0006675133,0.001814295,0.009385366],"domain_scores_gemma":[0.9580109,0.006082905,0.004220942,0.0005847382,0.006688057,0.02441246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005726176,0.0009536668,0.4190985,0.001249982,0.0001842116,0.003195036,0.2387989,0.0009430052,0.001103403,0.07323883,0.08064652,0.1800154],"study_design_scores_gemma":[0.00007578888,0.0001452392,0.1741551,0.002175478,0.0000630168,0.0002682208,0.7523791,0.0006103122,0.000203253,0.009917135,0.05988192,0.0001254083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6030431,0.007417304,0.000830077,0.355561,0.001027356,0.0001826248,0.0005057193,0.00004067796,0.0313921],"genre_scores_gemma":[0.9660022,0.003550156,0.0008481246,0.01728489,0.0001960746,0.0001146554,0.0001798489,0.00002862979,0.01179538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338382,"threshold_uncertainty_score":0.4800394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202156417428574,"score_gpt":0.4390562080850298,"score_spread":0.3188405663421724,"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."}}