{"id":"W4309507071","doi":"10.1186/s12889-022-14626-3","title":"Quantifying differences in packaged food and drink purchases among households with diet-related cardiometabolic multi-morbidity: a cross-sectional analysis","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. National Library of Medicine; National Cancer Institute; National Heart, Lung, and Blood Institute; Dartmouth College","keywords":"Medicine; Environmental health; Cross-sectional study; Biostatistics; Calorie; Logistic regression; Per capita; Public health; Food science; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002428388,0.0002513468,0.0002762883,0.001002695,0.0003453427,0.0006107649,0.0004102184,0.0004394236,0.001058896],"category_scores_gemma":[0.003889358,0.0004042425,0.0006670636,0.001343018,0.0002106823,0.0005264091,0.000645873,0.0004387826,0.0002584762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954125,"about_ca_system_score_gemma":0.0003163889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007286808,"about_ca_topic_score_gemma":0.009701933,"domain_scores_codex":[0.9991025,0.0004198931,0.00009672547,0.0001858613,0.0001200652,0.00007505908],"domain_scores_gemma":[0.9969738,0.0007540548,0.001267931,0.0003300804,0.0004223717,0.0002518914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002120941,0.00002316863,0.9993089,0.000005897296,0.00008395097,0.000006485344,0.00004634011,0.00002842117,0.00005982832,0.000005765913,0.00004184795,0.0003681981],"study_design_scores_gemma":[0.000002309355,0.00007088561,0.9993759,0.000003881742,0.00003388189,0.00004949373,0.0001463407,0.0001897481,0.00003456772,0.000007375167,0.00008378422,0.000001952496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981223,0.00008739733,0.0003779482,0.00002371223,0.000003227436,0.00002929899,0.001176752,0.000005216436,0.0001741412],"genre_scores_gemma":[0.9971901,0.00007799121,0.0008930666,0.0000376176,0.000006214258,0.00006414905,0.001598475,0.000002977351,0.0001296077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007286808,"threshold_uncertainty_score":0.01448882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.172532644076288,"score_gpt":0.3667778127374854,"score_spread":0.1942451686611975,"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."}}