{"id":"W2524745288","doi":"10.1111/ilrf.12021","title":"Incidence des envois de fonds: une analyse à partir du cas de saisonniers mexicains employés au Canada","year":2016,"lang":"fr","type":"article","venue":"Revue internationale du Travail","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.0006943375,0.0002538375,0.0004438364,0.001109037,0.001284692,0.001355925,0.0008052783,0.0003728983,0.003401344],"category_scores_gemma":[0.002677462,0.0001779468,0.0005136064,0.002663909,0.0008131446,0.0002732875,0.0007488193,0.0005943343,0.0001199398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008207791,"about_ca_system_score_gemma":0.01115429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710782,"about_ca_topic_score_gemma":0.975014,"domain_scores_codex":[0.9994841,0.00008561767,0.00002516413,0.00007002066,0.0001362501,0.0001987762],"domain_scores_gemma":[0.9983334,0.0006373852,0.000383944,0.00005708781,0.000361099,0.0002271055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006708394,0.00002452597,0.9824817,0.0000371025,0.00008351621,0.0002717742,0.00290205,0.002501293,0.0002139247,0.001237698,0.0005031262,0.009676343],"study_design_scores_gemma":[0.000006478098,0.0000360239,0.9828107,0.00004916028,0.00007835529,0.0001195541,0.006940389,0.00639449,0.0001887186,0.0001701591,0.003189312,0.00001660642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978045,0.0002020383,0.0003267206,0.000126968,0.000001852329,0.00001100811,0.0005096842,0.000005701533,0.00101151],"genre_scores_gemma":[0.9968287,0.0003118685,0.0002536653,0.00001604826,0.000002753256,0.00001363391,0.0004261919,0.000002857131,0.002144284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892184,"threshold_uncertainty_score":0.05955201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743896787444546,"score_gpt":0.266821901549504,"score_spread":0.2493829336750586,"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."}}