{"id":"W6939433902","doi":"10.6084/m9.figshare.21582521","title":"Additional file 2 of 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":"Figshare","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Operationalization; Variable (mathematics); Covariate; Variables; Omitted-variable bias","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001432758,0.0007141338,0.000898396,0.001651754,0.0006739223,0.0008041702,0.001380397,0.0007822899,0.6998896],"category_scores_gemma":[0.02231094,0.0003719703,0.0006997769,0.003200033,0.0001468533,0.001085543,0.0007307888,0.0006659606,0.05469049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713409,"about_ca_system_score_gemma":0.00129809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676635,"about_ca_topic_score_gemma":0.01685643,"domain_scores_codex":[0.9993365,0.0001731637,0.0001362408,0.0001394384,0.0001223789,0.00009219514],"domain_scores_gemma":[0.9872824,0.008933696,0.001321803,0.0006746945,0.001522058,0.0002654194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003451456,0.0001624588,0.01560675,0.001979313,0.00009062127,0.00007717731,0.000130704,0.000478032,0.00006647044,0.0008096066,0.9717,0.008553764],"study_design_scores_gemma":[0.009213391,0.0009530468,0.3375296,0.007467588,0.0007834537,0.00110895,0.002389756,0.005869715,0.001240529,0.01095486,0.6222258,0.0002633148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006494647,0.00001054696,0.0001635371,0.00004705627,0.000007863561,0.0001203079,0.9982384,0.00005567574,0.0007071768],"genre_scores_gemma":[0.03065551,0.0001327765,0.003531744,0.0003915167,0.00007381877,0.005703326,0.9484641,0.0002771235,0.01077008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6998896,"threshold_uncertainty_score":0.428071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08641534990867847,"score_gpt":0.2937825209320577,"score_spread":0.2073671710233792,"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."}}