{"id":"W7014821393","doi":"","title":"Quatre essais sur l’intégration des immigrants au Canada: mise en perspective des approches computationnelles, des données textuelles et d’enquêtes traditionnelles","year":2024,"lang":"fr","type":"other","venue":"Open MIND","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Context (archaeology); Identity (music)","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":[0.01807132,0.0009452421,0.0007828768,0.01346654,0.01728193,0.02629321,0.002299305,0.001900204,0.008964714],"category_scores_gemma":[0.03587125,0.0005914256,0.00103391,0.02195959,0.01378966,0.008600085,0.00523489,0.002460127,0.0008088702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09348464,"about_ca_system_score_gemma":0.1295898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9634007,"about_ca_topic_score_gemma":0.9796683,"domain_scores_codex":[0.9890837,0.003439113,0.000756818,0.001107573,0.004592228,0.00102051],"domain_scores_gemma":[0.9677555,0.01174516,0.001794602,0.001314017,0.01617213,0.001218536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001474394,0.00004330666,0.0738587,0.001724579,0.0001967948,0.0008640286,0.5582312,0.001236687,0.0009685248,0.1293292,0.02692293,0.2064766],"study_design_scores_gemma":[0.00001603507,0.00003300762,0.08193593,0.005675754,0.0002473493,0.0002928824,0.4956535,0.001630627,0.001003043,0.02335954,0.3899317,0.0002207185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4474543,0.08135027,0.03395606,0.1433683,0.002214021,0.0004871383,0.005048704,0.0004197026,0.2857015],"genre_scores_gemma":[0.8745385,0.04661737,0.02244027,0.004359263,0.0002897265,0.000254649,0.001917418,0.0001900035,0.04939285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09348464,"threshold_uncertainty_score":0.6782817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905733783197901,"score_gpt":0.2921925493887137,"score_spread":0.2531352115567347,"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."}}