{"id":"W4224313895","doi":"10.3390/nu14091778","title":"Development of the Cook-EdTM Matrix to Guide Food and Cooking Skill Selection in Culinary Education Programs That Target Diet Quality and Health","year":2022,"lang":"en","type":"article","venue":"Nutrients","topic":"Dietetics, Nutrition, and Education","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Australian Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; Hunter Medical Research Institute","keywords":"Selection (genetic algorithm); Quality (philosophy); Food science; Biotechnology; Biology; Computer science; Artificial intelligence","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":[0.04448013,0.001631216,0.000769942,0.005514604,0.00307724,0.003597407,0.002089461,0.001390353,0.00897197],"category_scores_gemma":[0.06872144,0.001057645,0.001388835,0.002134384,0.001764858,0.003979791,0.006068082,0.003395891,0.002729194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006348853,"about_ca_system_score_gemma":0.02444558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006171755,"about_ca_topic_score_gemma":0.02043937,"domain_scores_codex":[0.9787657,0.01255199,0.002607322,0.000994257,0.004314634,0.0007661731],"domain_scores_gemma":[0.9440519,0.02037704,0.003283741,0.001787186,0.02740813,0.003092079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006024607,0.001316383,0.01320831,0.00614019,0.000119238,0.00120303,0.1245526,0.006881433,0.02146823,0.03775606,0.1449081,0.6418439],"study_design_scores_gemma":[0.0005017694,0.001485546,0.0349374,0.00797666,0.0001382307,0.001338848,0.1112233,0.02697656,0.01676517,0.044017,0.7540895,0.0005500469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1761247,0.001336599,0.632507,0.02452727,0.002448864,0.08612876,0.004924119,0.002154308,0.06984831],"genre_scores_gemma":[0.05435472,0.0005355202,0.909492,0.0009400636,0.00007093134,0.02536652,0.001321838,0.0001779799,0.007740513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04448013,"threshold_uncertainty_score":0.2352362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178230937749005,"score_gpt":0.462975386316255,"score_spread":0.3451522925413545,"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."}}