{"id":"W1518366739","doi":"","title":"Migrer, cuisiner et manger dans un espace social alimentaire transculturel : le cas d'immigrants de première génération à Montréal","year":2013,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; 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":[0.0007595735,0.0003727119,0.0003923384,0.0009724509,0.01002672,0.004324598,0.001043673,0.000721015,0.005416656],"category_scores_gemma":[0.001617267,0.0002297497,0.0003211875,0.002346076,0.004024806,0.001141436,0.00346081,0.001006373,0.000212531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01935135,"about_ca_system_score_gemma":0.02026506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9574221,"about_ca_topic_score_gemma":0.9839157,"domain_scores_codex":[0.9993163,0.0001226368,0.00001943643,0.0000874058,0.0001380356,0.0003161201],"domain_scores_gemma":[0.999256,0.0001608049,0.0001586102,0.00003004255,0.0001880995,0.0002063874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008995091,0.00006449104,0.2385284,0.0002034235,0.00004708421,0.002859955,0.7137991,0.0001278619,0.00163039,0.01002764,0.001976906,0.03064481],"study_design_scores_gemma":[0.000007237109,0.00005475268,0.26095,0.0001678289,0.0000477132,0.0003772207,0.7083659,0.0001489185,0.0002637157,0.0004278038,0.02914656,0.00004229039],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902177,0.001124371,0.0001332593,0.001205596,0.00002135936,0.00002260936,0.0000971178,0.000003644153,0.007174214],"genre_scores_gemma":[0.9894819,0.001526414,0.0002005673,0.0002399755,0.000009382365,0.00002289051,0.00007924034,0.000004992835,0.00843466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04257786,"threshold_uncertainty_score":0.1404045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006270370618656894,"score_gpt":0.1714933888084445,"score_spread":0.1652230181897876,"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."}}