{"id":"W2316191773","doi":"10.1503/cmaj.141189","title":"Making vulnerability visible: medical repatriation and Canada’s migrant agricultural workers","year":2015,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Repatriation; Vulnerability (computing); Agriculture; Criticism; Migrant workers; Business; Medicine; Political science; Economic growth; Computer security; Computer science; History; Law; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01022677,0.0004725353,0.0009765376,0.0002512924,0.001920129,0.00009511619,0.0006663255,0.005694033,0.008154359],"category_scores_gemma":[0.02140155,0.0003832541,0.0001377544,0.0004072238,0.00008596479,0.0001764153,0.00009798276,0.01736032,0.0001197583],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02193423,"about_ca_system_score_gemma":0.1047024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9379566,"about_ca_topic_score_gemma":0.9971986,"domain_scores_codex":[0.9840573,0.003642369,0.002088215,0.0005602313,0.007458501,0.002193382],"domain_scores_gemma":[0.9892899,0.002017098,0.001585255,0.0002966733,0.002061964,0.00474911],"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":[0.000008836891,0.000004064195,0.08854736,0.0001349809,0.00008811762,0.001260629,0.0005426175,8.588117e-7,1.852139e-8,0.000008130773,0.9064183,0.002986093],"study_design_scores_gemma":[0.0008973274,0.00003215292,0.02238282,0.0019741,0.00006410491,0.0002637057,0.002130592,0.00006711998,1.81469e-8,0.0001081871,0.9717061,0.0003737879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01691191,0.001023444,0.000007272529,0.9666255,0.008416499,0.0006680157,0.0002136965,0.00005810337,0.006075529],"genre_scores_gemma":[0.01346493,0.0002507932,0.00008835701,0.9459328,0.03366485,0.00004696084,0.000398191,0.00006427381,0.00608883],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08276819,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401201411566866,"score_gpt":0.3675975900617013,"score_spread":0.3335855759460326,"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."}}