{"id":"W6958976712","doi":"10.6084/m9.figshare.c.6591997","title":"The structure of the Canadian packaged food and non-alcoholic beverage manufacturing and grocery retailing sectors through a public health lens","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Multinational corporation; Index (typography); Beverage industry; Population; Market share; Food industry; Food products; Public sector","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004700833,0.000413415,0.0002055706,0.01132376,0.001961492,0.003147053,0.001117027,0.0003274129,0.00575836],"category_scores_gemma":[0.002056853,0.0002757493,0.0004710695,0.01576995,0.001098911,0.0005572562,0.001532485,0.0003892914,0.0003024098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03913483,"about_ca_system_score_gemma":0.04969727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887415,"about_ca_topic_score_gemma":0.9931618,"domain_scores_codex":[0.9988151,0.00005027192,0.00002790265,0.0001310018,0.0005178078,0.0004579989],"domain_scores_gemma":[0.9976866,0.0001387506,0.000463295,0.00005432299,0.001181,0.0004760281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001817475,0.00006739142,0.8892276,0.0004945536,0.0001416647,0.0006502217,0.006247491,0.001709531,0.002501419,0.01779482,0.01162932,0.06935427],"study_design_scores_gemma":[0.000003557566,0.00002204104,0.976843,0.00009034017,0.00003182578,0.0001092577,0.004169371,0.0005285995,0.0002620082,0.0002784157,0.01764551,0.00001615392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998913,0.006009759,0.000743917,0.003210828,0.00002824526,0.0001658133,0.02534566,0.0000672247,0.06453728],"genre_scores_gemma":[0.9883636,0.00210318,0.0006817314,0.0001503637,0.00001493125,0.00002018022,0.004444776,0.000009215561,0.004211911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03913483,"threshold_uncertainty_score":0.2839444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04165527211969539,"score_gpt":0.2662195307558453,"score_spread":0.2245642586361499,"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."}}