{"id":"W2737691022","doi":"10.3390/nu9070793","title":"Canadian Potential Healthcare and Societal Cost Savings from Consumption of Pulses: A Cost-Of-Illness Analysis","year":2017,"lang":"en","type":"article","venue":"Nutrients","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Environmental health; Medicine; Consumption (sociology); Glycemic; Type 2 diabetes; Health care; Incidence (geometry); Diabetes mellitus; Socioeconomic status; Demography; Gerontology; Population; Economics; Economic growth; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002938351,0.0001364478,0.0009407889,0.0003884851,0.0004318467,0.00008911851,0.0003170044,0.0001808198,0.0002639878],"category_scores_gemma":[0.0008850009,0.0001843646,0.0001586775,0.0001158796,0.0001690118,0.0003715149,0.00006083264,0.0001143116,0.00009643479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004763226,"about_ca_system_score_gemma":0.0002195843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4238847,"about_ca_topic_score_gemma":0.09456847,"domain_scores_codex":[0.9970963,0.0001136827,0.00194353,0.0004290552,0.0001007986,0.0003166255],"domain_scores_gemma":[0.9961751,0.0001652977,0.002585109,0.0006197438,0.0001269963,0.0003277618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001759875,0.00004601507,0.9927449,0.0001885892,0.0002920467,8.496193e-7,0.00174923,0.00002084244,0.00000404769,0.003362834,0.0008488937,0.0007241009],"study_design_scores_gemma":[0.00134165,0.00003567934,0.9856023,0.000089613,0.0000917613,8.754214e-7,0.0009034551,0.003824686,0.00002988629,0.003159205,0.004675306,0.0002456435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854941,0.001055149,0.0009235401,0.007073473,0.0004659598,0.0006662604,0.004111629,0.000008451322,0.0002013834],"genre_scores_gemma":[0.9980768,0.0003133167,0.0003637592,0.0008057224,0.00008506094,0.00004400387,0.0002139287,0.0000144427,0.00008294104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3293162,"threshold_uncertainty_score":0.9219533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2317595209050591,"score_gpt":0.4220233063161301,"score_spread":0.190263785411071,"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."}}