{"id":"W6992483007","doi":"","title":"Lien intergénérationnel du revenu et immigrants de génération 1,5 : le rôle de l’âge à l’arrivée","year":2023,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Lien; Ven; Child care","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":[0.003754381,0.0003271898,0.0003518236,0.0008036455,0.00121297,0.001664847,0.0008660037,0.0006129476,0.005562078],"category_scores_gemma":[0.00859236,0.0002143367,0.0007636721,0.0008372978,0.0008401245,0.001048887,0.001514282,0.0009084214,0.0004013427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147361,"about_ca_system_score_gemma":0.00351837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2629511,"about_ca_topic_score_gemma":0.3785884,"domain_scores_codex":[0.9987244,0.0004270256,0.00005172377,0.0002678951,0.0002095938,0.0003194643],"domain_scores_gemma":[0.9949682,0.002253266,0.001052946,0.0003418982,0.0008639306,0.0005197037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003858585,0.00004942871,0.958018,0.00009315983,0.000210676,0.0002230109,0.01537982,0.0001556289,0.0005333248,0.001847287,0.0003996342,0.02270421],"study_design_scores_gemma":[0.000005534651,0.0001563425,0.9832773,0.0001615977,0.0001359283,0.0001078219,0.01078551,0.0001416684,0.0003481973,0.000374364,0.004486793,0.00001899191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926555,0.001927806,0.0007052671,0.0004698652,0.00003503782,0.00003003805,0.0005040341,0.000005121428,0.003667354],"genre_scores_gemma":[0.988077,0.001297224,0.0007822472,0.0001900431,0.00001899916,0.00004095064,0.0003734479,0.000008630607,0.009211427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2629511,"threshold_uncertainty_score":0.5228411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007525877606265508,"score_gpt":0.1894369704726594,"score_spread":0.1819110928663939,"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."}}