{"id":"W2119603416","doi":"10.1017/s1368980010002995","title":"Planning a graduate programme in public health nutrition for experienced nutrition professionals","year":2010,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Stakeholder; Timeline; Public relations; Participatory planning; Strategic planning; Public health; Medical education; Needs assessment; Workforce; Business; Health promotion; Capacity building; Medicine; Political science; Nursing; Environmental planning; Marketing; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006124075,0.0004655384,0.0002240777,0.0007055472,0.003405286,0.001720514,0.001807194,0.001477758,0.02264793],"category_scores_gemma":[0.006068959,0.0003184137,0.0005971498,0.0004162482,0.000926294,0.0008963925,0.005316888,0.002135079,0.003015494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00427019,"about_ca_system_score_gemma":0.04382865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223228,"about_ca_topic_score_gemma":0.03865051,"domain_scores_codex":[0.9974849,0.001005004,0.00006345716,0.0001483198,0.0003105255,0.0009877557],"domain_scores_gemma":[0.991722,0.0007467039,0.0003865321,0.0002227961,0.0008030523,0.006118769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005719377,0.009441839,0.04652194,0.001696851,0.0000325965,0.001078021,0.01528085,0.005544129,0.004526156,0.008172547,0.08679068,0.8203424],"study_design_scores_gemma":[0.001050164,0.01472222,0.2022088,0.003407573,0.00009467248,0.001803838,0.06927501,0.007361799,0.008004929,0.02856474,0.6632783,0.0002278346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237918,0.003104841,0.06266603,0.05475421,0.001604888,0.02574296,0.0009700199,0.001455012,0.2259103],"genre_scores_gemma":[0.7872393,0.002149756,0.1379711,0.004842137,0.0004269228,0.006856306,0.001060613,0.00009031562,0.05936358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02264793,"threshold_uncertainty_score":0.07576483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.315707947212868,"score_gpt":0.5257807333749294,"score_spread":0.2100727861620614,"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."}}