{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008152717,0.0002234266,0.0002459253,0.0001023333,0.0003950698,0.00008236806,0.0005754303,0.0001643247,0.00120196],"category_scores_gemma":[0.001357018,0.000209723,0.0001523328,0.0005900382,0.0007481095,0.0003787239,0.00004773208,0.0001609503,0.0000844932],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005175279,"about_ca_system_score_gemma":0.003341876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9077461,"about_ca_topic_score_gemma":0.9980462,"domain_scores_codex":[0.9976668,0.0003769967,0.000474057,0.0003644126,0.0005024152,0.0006152838],"domain_scores_gemma":[0.9980426,0.0006685678,0.0002479512,0.0002173144,0.0003870809,0.0004365004],"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":[0.00002329475,0.0001387914,0.8073285,0.00005342998,0.0002111651,0.0001868392,0.04734223,0.0009021094,0.0003774748,0.1009937,0.01447248,0.02797001],"study_design_scores_gemma":[0.0007539569,0.00008349613,0.4564235,0.000653473,0.0001877716,0.0001303407,0.0107408,0.01635132,0.000354084,0.004401281,0.5092385,0.0006814782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509336,0.001278715,0.005168071,0.03574821,0.000838432,0.0001316412,0.0002649272,0.00005636363,0.005580076],"genre_scores_gemma":[0.950544,0.005116708,0.0006432151,0.0008417893,0.0009953814,0.00002750325,0.00001657916,0.00002489312,0.04178991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.494766,"threshold_uncertainty_score":0.9997111,"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."}}