{"id":"W2528584639","doi":"10.1016/j.puhe.2016.08.025","title":"Enhancing breadth of knowledge within multidisciplinary doctoral research: reflections from the Cambridge Generic Nutrition Training course for non-nutritionist postgraduates and professionals","year":2016,"lang":"en","type":"article","venue":"Public Health","topic":"Dietetics, Nutrition, and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Medical Research Council","keywords":"Nutritionist; Multidisciplinary approach; Medical education; Health professionals; Training (meteorology); Graduate education; Course (navigation); Public health; Graduate students; Psychology; Medicine; Sociology; Nursing; Health care; Engineering; Political science; Social science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006010154,0.0001834839,0.0003901353,0.0002364918,0.003714551,0.000040517,0.0002146046,0.0001864719,0.00003038718],"category_scores_gemma":[0.0009175714,0.0001224853,0.0000758612,0.0005653693,0.0003667396,0.0003708526,0.0001022099,0.0004591353,0.00002205658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004529519,"about_ca_system_score_gemma":0.0038403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367346,"about_ca_topic_score_gemma":0.004094606,"domain_scores_codex":[0.9956712,0.001612796,0.0009920422,0.0004605961,0.000340193,0.0009232023],"domain_scores_gemma":[0.993422,0.004071814,0.0004581696,0.0003761735,0.0012664,0.0004054583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007401916,0.008646618,0.05534127,0.01233925,0.000289499,0.000001647083,0.4566158,4.849479e-7,0.02581589,0.02620462,0.3561129,0.05789187],"study_design_scores_gemma":[0.01098131,0.001939886,0.3086984,0.0187454,0.00007803,0.0000146557,0.5266024,0.000508119,0.001675873,0.02012321,0.1097778,0.0008549138],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7857112,0.003298603,0.003947251,0.1983204,0.003126795,0.003655734,0.001372965,0.0001221736,0.0004449152],"genre_scores_gemma":[0.9882034,0.001192671,0.004768056,0.0005604012,0.002206409,0.001678411,0.000464679,0.00004553443,0.0008804135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2533571,"threshold_uncertainty_score":0.9975825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5001832755563902,"score_gpt":0.5483766257212463,"score_spread":0.04819335016485615,"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."}}