{"id":"W2885923091","doi":"10.1108/bfj-02-2018-0112","title":"Exploring the visual appeal of food guide graphics","year":2018,"lang":"en","type":"article","venue":"British Food Journal","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Usability; Graphics; Thematic analysis; Food choice; Originality; Computer science; Communication design; Qualitative research; Data science; Knowledge management; Multimedia; Human–computer interaction; Medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007387022,0.00007817882,0.0001770147,0.00001151787,0.0004728238,0.0001498408,0.0002482552,0.00003417505,0.0002961517],"category_scores_gemma":[0.0003309239,0.00003000167,0.0001742913,0.0003473133,0.0001933718,0.0001250108,0.000044652,0.0001976845,0.000004805042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006625194,"about_ca_system_score_gemma":0.000006876546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008901976,"about_ca_topic_score_gemma":0.0009739446,"domain_scores_codex":[0.9987312,0.0002402291,0.000358624,0.0001367649,0.0002960985,0.0002370983],"domain_scores_gemma":[0.999195,0.0003117391,0.0001339354,0.00003507951,0.0002106389,0.0001136266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002679594,0.0001059389,0.001430697,0.000003869681,0.0001308078,0.00001806349,0.00007988933,0.000001155944,0.01805682,0.004345897,0.00166215,0.9741379],"study_design_scores_gemma":[0.0005397164,0.01011814,0.8766518,0.0002186087,0.0001790701,0.002058167,0.002096307,0.0003345895,0.01523022,0.03051663,0.06150873,0.0005480032],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975473,0.0002321547,0.0006318135,0.0003732159,0.0002466751,0.00004158919,0.00002750984,0.00001191429,0.0008878075],"genre_scores_gemma":[0.9973592,0.000212683,0.0009865834,0.0001864061,0.001206558,0.000002398621,0.000001984466,9.158961e-7,0.00004331136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735899,"threshold_uncertainty_score":0.3636626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435605840340673,"score_gpt":0.3047416468078687,"score_spread":0.1611810627738014,"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."}}