{"id":"W3091801212","doi":"10.1016/j.jneb.2020.07.009","title":"How Online Grocery Stores Support Consumer Nutrition Information Needs","year":2020,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ingredient; Nutrition information; Product (mathematics); Grocery store; sort; Variety (cybernetics); Business; Food packaging; Statement (logic); Marketing; Advertising; Food science; Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006738,0.0001427487,0.0001479657,0.0006107739,0.000809823,0.003220139,0.0004373273,0.001081053,0.0137261],"category_scores_gemma":[0.0111374,0.0002600191,0.0003073956,0.00048188,0.0003932832,0.002161337,0.001054284,0.000712591,0.0008686022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007279734,"about_ca_system_score_gemma":0.001310232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008985403,"about_ca_topic_score_gemma":0.02067904,"domain_scores_codex":[0.999235,0.0003644016,0.00003491398,0.00007706833,0.0001551755,0.0001333497],"domain_scores_gemma":[0.9905951,0.006001193,0.001427159,0.0002722987,0.0007998115,0.0009043418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001976327,0.01252981,0.7816414,0.0004327048,0.0003322124,0.000644365,0.02216231,0.000472736,0.004933008,0.002372693,0.008795112,0.1637072],"study_design_scores_gemma":[0.0003440556,0.001331575,0.8973988,0.0003629184,0.0006224751,0.0004127624,0.06569151,0.003627966,0.002563258,0.003688632,0.02388027,0.0000759057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986025,0.0001074126,0.00008330437,0.001469103,0.00002062815,0.00002044665,0.00007955724,0.00000934914,0.01218507],"genre_scores_gemma":[0.9959742,0.0001656704,0.0003048471,0.0004674811,0.0000183393,0.00001425146,0.00009841481,0.000008360984,0.00294857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137261,"threshold_uncertainty_score":0.04591835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299628376965506,"score_gpt":0.3054374340806577,"score_spread":0.2754745963841071,"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."}}