{"id":"W3082842393","doi":"10.1111/imig.12762","title":"Canada’s Temporary Foreign Worker and International Mobility Programs: Charting Change and Continuity Among Source Countries","year":2020,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Racialization; Latin Americans; Migrant workers; China; Political science; Work (physics); Demographic economics; Economic growth; Development economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002976542,0.0001031867,0.0001021088,0.00003830411,0.0002152601,0.0002633934,0.0001465656,0.00006825996,0.0001064605],"category_scores_gemma":[0.0002767117,0.0001053399,0.0000228117,0.00009156219,0.0001808011,0.0006150001,0.00005426627,0.0001055731,0.000001911103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282269,"about_ca_system_score_gemma":0.0001767606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3724263,"about_ca_topic_score_gemma":0.9402971,"domain_scores_codex":[0.9988827,0.00007213917,0.0002421966,0.0002486431,0.0004148735,0.0001394631],"domain_scores_gemma":[0.9993265,0.00006454983,0.000161442,0.00005132526,0.0002555087,0.0001406263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003743819,0.00002343429,0.9562883,0.000008668276,0.00003209374,0.000002288259,0.01595068,0.000007868587,0.0000289372,0.0134931,0.00200675,0.01212038],"study_design_scores_gemma":[0.000529397,0.00003669864,0.3239213,0.00006278334,0.00001693173,0.000002184172,0.01921257,0.04241851,0.00004089869,0.0006015936,0.6128514,0.0003056821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639611,0.0001035289,0.0005952256,0.03162496,0.0002548973,0.00039239,0.00005416785,0.00006962886,0.002944091],"genre_scores_gemma":[0.9961575,0.0001499973,0.0001076735,0.001994744,0.0005248436,0.00004922665,0.0001294912,0.000007869305,0.0008786033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.632367,"threshold_uncertainty_score":0.6317527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356254759942076,"score_gpt":0.2721187081888372,"score_spread":0.2385561605894164,"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."}}