{"id":"W2962386619","doi":"10.3390/ijerph16142531","title":"The Climate Change, Food Security and Human Health Nexus in Canada: A Framework to Protect Population Health","year":2019,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; Health Canada","funders":"Health Canada","keywords":"Nexus (standard); Food security; Climate change; Public health; Food systems; Business; Environmental health; Population health; Environmental resource management; Population; Environmental planning; Geography; Medicine; Economics; Ecology; Engineering; Agriculture; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003888925,0.001296766,0.0007722413,0.008261953,0.01214347,0.007081242,0.003325396,0.001915678,0.004261396],"category_scores_gemma":[0.004326976,0.0003629382,0.001103883,0.007867955,0.01200399,0.00292634,0.005645157,0.003323931,0.0003050838],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1433009,"about_ca_system_score_gemma":0.2968234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915683,"about_ca_topic_score_gemma":0.9940006,"domain_scores_codex":[0.9970921,0.0009400133,0.00009947905,0.0003053727,0.0006755491,0.000887544],"domain_scores_gemma":[0.9972016,0.0004327756,0.0001597374,0.00005372259,0.001460166,0.0006920537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002638491,0.00005654616,0.023261,0.0007066758,0.0001022344,0.0006307143,0.01313585,0.007956823,0.0002269398,0.8948752,0.02830662,0.03071507],"study_design_scores_gemma":[0.00005770986,0.00007342652,0.07949853,0.004339784,0.0004412487,0.0004180931,0.05888235,0.02553449,0.0003111879,0.412993,0.4171702,0.0002800447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0631335,0.04871926,0.05867449,0.3172945,0.001980835,0.002011761,0.008413335,0.0002520945,0.4995202],"genre_scores_gemma":[0.8709248,0.03627143,0.06449067,0.008481302,0.0003517107,0.0009727688,0.001614906,0.00005142818,0.01684104],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1433009,"threshold_uncertainty_score":0.9936495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4461060391184992,"score_gpt":0.5617463772869903,"score_spread":0.1156403381684911,"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."}}