{"id":"W2291316264","doi":"","title":"THÈSE DE MAÎTRISE ÉTUDE DES DÉTERMINANTS DES TRANSFERTS DE FONDS DE LA DIASPORA INDO-CANADIENNE : VARIABLES ET INDICATEURS PERTINENTS","year":2013,"lang":"fr","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diaspora; 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":[0.003715796,0.0006590554,0.000571885,0.003158587,0.001329701,0.002895193,0.0009881317,0.0007503483,0.01285813],"category_scores_gemma":[0.01050128,0.0002925363,0.001359761,0.003986312,0.0009642746,0.00232739,0.001765767,0.001175989,0.0008408212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627971,"about_ca_system_score_gemma":0.004223454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08616674,"about_ca_topic_score_gemma":0.09827537,"domain_scores_codex":[0.9980907,0.0008735752,0.0001370409,0.0002429403,0.0002690412,0.0003867102],"domain_scores_gemma":[0.9891611,0.006113661,0.002161768,0.0006088864,0.001262542,0.0006921084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000104631,0.00008368214,0.970432,0.0001886716,0.0003576823,0.0002466155,0.003891904,0.0002075459,0.0002195055,0.00239741,0.001364115,0.02050628],"study_design_scores_gemma":[0.000007108886,0.00008367569,0.985779,0.0001836202,0.0002122225,0.0001629928,0.007023299,0.0002331698,0.0002366809,0.0003963183,0.005664227,0.00001773922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793749,0.007792861,0.0006058755,0.003712914,0.0001160056,0.00003665021,0.002763479,0.00002338579,0.005573855],"genre_scores_gemma":[0.9894648,0.003231109,0.0005413147,0.0002392974,0.0001270293,0.00005471653,0.0009865921,0.000009695731,0.005345535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9138333,"threshold_uncertainty_score":0.1713304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525684533649271,"score_gpt":0.2880215954559421,"score_spread":0.2727647501194494,"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."}}