{"id":"W6959920722","doi":"10.11575/prism/49468","title":"Professional Immigrants: Confronting Multiple Barriers to Canadian Employment Opportunities.","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"Coffee research and impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Certification; Work (physics); General partnership; Face (sociological concept); Socioeconomic status; Seekers","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":[0.005350715,0.0003322487,0.00036789,0.001271636,0.0322963,0.006221165,0.001934601,0.001861601,0.009564393],"category_scores_gemma":[0.01045399,0.0003407594,0.0003920973,0.00233891,0.008067458,0.001625243,0.009229489,0.003238194,0.0005391581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04351244,"about_ca_system_score_gemma":0.1739217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9679125,"about_ca_topic_score_gemma":0.9879948,"domain_scores_codex":[0.9944776,0.0009812276,0.0001234933,0.0003081228,0.001775241,0.002334237],"domain_scores_gemma":[0.9929484,0.0009193386,0.0006241717,0.000161926,0.00210347,0.003242706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000211264,0.0001860858,0.1202137,0.0007541561,0.00006970987,0.006170295,0.5797899,0.0001736331,0.001147846,0.03397011,0.09491691,0.1623963],"study_design_scores_gemma":[0.00001607503,0.0000612683,0.03398388,0.0006009051,0.00003403388,0.000877138,0.8548861,0.0001079674,0.0001694759,0.001694553,0.1075027,0.00006580078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7220105,0.006378766,0.0005927917,0.1266568,0.001043081,0.0001869902,0.0003794011,0.00004893452,0.1427027],"genre_scores_gemma":[0.9537613,0.004542695,0.0007655793,0.01600199,0.00008534722,0.00005303632,0.0001434821,0.00002627968,0.02462028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04351244,"threshold_uncertainty_score":0.3157063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281415974486684,"score_gpt":0.3846285632488216,"score_spread":0.2564869658001532,"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."}}