{"id":"W7094030645","doi":"","title":"Quatre essais sur l’intégration des immigrants au Canada: mise en perspective des
\\napproches computationnelles, des données textuelles et d’enquêtes traditionnelles","year":2024,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Nationality; Context (archaeology)","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":[0.006039748,0.0005157991,0.0003986679,0.006075497,0.01403905,0.01298423,0.001099964,0.001162022,0.009285565],"category_scores_gemma":[0.01267621,0.0003496009,0.0004965395,0.01385424,0.008366964,0.004767123,0.003378497,0.001883222,0.0005117179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06702599,"about_ca_system_score_gemma":0.08990821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805407,"about_ca_topic_score_gemma":0.9904588,"domain_scores_codex":[0.9964965,0.0007425044,0.0002190715,0.0003562198,0.001513767,0.0006719528],"domain_scores_gemma":[0.9910983,0.00285881,0.0008066962,0.0002723617,0.004289272,0.000674509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000133307,0.00002661598,0.06768025,0.000818847,0.00007597655,0.001021297,0.717948,0.000358629,0.0008143522,0.05153835,0.02604175,0.1335427],"study_design_scores_gemma":[0.000007734455,0.00002369785,0.1302275,0.001919111,0.00009747265,0.0002233415,0.5389203,0.0003270255,0.0007105736,0.003839916,0.3235923,0.0001108451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6701505,0.05794974,0.003987819,0.08072787,0.001432821,0.0001370897,0.003437677,0.0001215202,0.1820551],"genre_scores_gemma":[0.9019226,0.03736566,0.002412193,0.003469691,0.0002282246,0.00007803799,0.0009646542,0.00007898235,0.05347994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06702599,"threshold_uncertainty_score":0.4863099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269314553183503,"score_gpt":0.2052456019618037,"score_spread":0.1925524564299687,"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."}}