{"id":"W7037844421","doi":"","title":"ÉTUDE SUR L'ACCÈS À L'ALIMENTATION DES PERSONNES ÂGÉES DE MONTRÉAL ET LAVAL :&#13;\\nAPPORT POTENTIEL DE L’ÉPICERIE EN LIGNE?","year":2020,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poison control; Ile de france; Nursing homes; Urban environment","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":[0.0008040867,0.0003301874,0.000289288,0.0007717388,0.001712243,0.001802385,0.001080182,0.0006603187,0.006657737],"category_scores_gemma":[0.002247822,0.0002544311,0.0005936779,0.001679505,0.0008262207,0.001009249,0.001173883,0.0008824487,0.000577889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047849,"about_ca_system_score_gemma":0.01065503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.958945,"about_ca_topic_score_gemma":0.9734821,"domain_scores_codex":[0.9993253,0.0001060013,0.00002703493,0.0001191657,0.0001543076,0.0002682834],"domain_scores_gemma":[0.998635,0.0001208334,0.0002689385,0.00004163255,0.0006473095,0.0002863256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001644825,0.0001070127,0.9378291,0.0002868744,0.0001479978,0.0004970748,0.02180604,0.0001265668,0.0007931768,0.0008722133,0.004167038,0.0332023],"study_design_scores_gemma":[0.000004703664,0.00006833072,0.9782495,0.0001123027,0.00003293602,0.00005609925,0.01412733,0.00007006951,0.0001013963,0.00002539854,0.007133237,0.00001868229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834313,0.002212982,0.0002711986,0.002166359,0.00005431478,0.00008859303,0.002891037,0.00001386866,0.008870367],"genre_scores_gemma":[0.9843451,0.002265046,0.0004233094,0.0006373828,0.00002267215,0.00010275,0.001061966,0.00001119494,0.01113043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04105502,"threshold_uncertainty_score":0.08259356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112501342192884,"score_gpt":0.1968277452613454,"score_spread":0.1857027318394166,"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."}}