{"id":"W3155260560","doi":"10.7202/1076355ar","title":"Insécurité alimentaire en temps de pandémie de la COVID-19 et inégalités en alimentation au Québec","year":2021,"lang":"fr","type":"article","venue":"Nutrition, science en évolution","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec","funders":"Ministère de la Santé; Ministère de la Santé et des Services sociaux","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Medicine; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261444,0.0002896777,0.0003529115,0.0007518664,0.002183923,0.001455809,0.0006346621,0.000551076,0.007852686],"category_scores_gemma":[0.002796086,0.0002080893,0.0005068033,0.00151458,0.0008572179,0.0007511553,0.0008879831,0.001271707,0.0003749634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02034006,"about_ca_system_score_gemma":0.01974521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812903,"about_ca_topic_score_gemma":0.9889073,"domain_scores_codex":[0.999105,0.0001828269,0.00004082284,0.0001347724,0.0001943317,0.000342082],"domain_scores_gemma":[0.9973397,0.0002412311,0.0006968065,0.00008997914,0.00111483,0.0005174032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000246669,0.00007723881,0.9637145,0.0002717432,0.0002035703,0.0002157166,0.002448855,0.0005333528,0.0005706919,0.001812545,0.007825612,0.02207937],"study_design_scores_gemma":[0.000006055546,0.00003870251,0.9903111,0.0002785197,0.00006919817,0.00004644456,0.001845738,0.0004490734,0.0001148707,0.0001457011,0.006675047,0.00001952278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946124,0.007845793,0.001370404,0.01004176,0.0001747794,0.0001069516,0.01338198,0.0000426855,0.02091156],"genre_scores_gemma":[0.9866025,0.002595613,0.0007607063,0.0009823423,0.00003156472,0.00006485674,0.0023848,0.00001446144,0.006563154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034006,"threshold_uncertainty_score":0.1475781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09786757367727036,"score_gpt":0.4879463752507567,"score_spread":0.3900788015734863,"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."}}