{"id":"W4402930220","doi":"10.1016/j.orcp.2024.09.038","title":"The relationship between use of digital food retail environments and associated sociodemographic characteristics: a multi-country analysis","year":2024,"lang":"en","type":"article","venue":"Obesity Research & Clinical Practice","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Environmental health; Medicine","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":[0.001267142,0.0003330253,0.0004294149,0.001397602,0.0009302257,0.001202872,0.0005062203,0.0007022598,0.003585837],"category_scores_gemma":[0.002607118,0.00075299,0.00155892,0.002760148,0.0005783618,0.0009144612,0.001303161,0.001338867,0.0004253504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090556,"about_ca_system_score_gemma":0.0004299665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464474,"about_ca_topic_score_gemma":0.01657294,"domain_scores_codex":[0.999046,0.000353728,0.0001404534,0.0001698886,0.00008652694,0.0002033062],"domain_scores_gemma":[0.9969278,0.0008008021,0.001244379,0.0002504935,0.0003164189,0.0004601149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005584159,0.00004443842,0.9991479,0.00000790239,0.0001088991,0.00003192384,0.0001154401,0.00002611989,0.00005510051,0.00001407245,0.00003872585,0.0003536305],"study_design_scores_gemma":[0.000002124576,0.00006630056,0.9987162,0.00000695322,0.000047335,0.00007029915,0.0009049952,0.00007261318,0.00002193277,0.000008223785,0.00007893873,0.000004082935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987671,0.0001368818,0.00007858461,0.00002901825,0.000004167212,0.000007713946,0.000607732,0.000001720983,0.000367101],"genre_scores_gemma":[0.9991565,0.0001085467,0.0001067142,0.00002102246,0.000003144637,0.00001423455,0.0003984523,0.000002610747,0.0001889032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01464474,"threshold_uncertainty_score":0.02911901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3688076821342324,"score_gpt":0.4383096316430156,"score_spread":0.06950194950878325,"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."}}