{"id":"W3094001545","doi":"10.9745/ghsp-d-20-00108","title":"Capturing Acquired Wisdom, Enabling Healthful Aging, and Building Multinational Partnerships Through Senior Global Health Mentorship","year":2020,"lang":"en","type":"article","venue":"Global Health Science and Practice","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute","keywords":"Mentorship; Capstone; Multinational corporation; Service-learning; Medical education; Health care; Competence (human resources); Public relations; Career development; Global health; Psychology; Pedagogy; Medicine; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0229166,0.0006013552,0.0003567553,0.001153347,0.007787121,0.01200751,0.002181823,0.002928658,0.04178774],"category_scores_gemma":[0.0335318,0.0004261555,0.0007684104,0.0007192776,0.005172437,0.009683239,0.02463227,0.00653522,0.009863413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003567323,"about_ca_system_score_gemma":0.02534219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099819,"about_ca_topic_score_gemma":0.00996189,"domain_scores_codex":[0.9833249,0.01033624,0.0003685255,0.0005162127,0.001528218,0.003925924],"domain_scores_gemma":[0.9330819,0.007080493,0.003729735,0.003075191,0.004965736,0.04806699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001515778,0.001578796,0.0314609,0.001051266,0.00008532166,0.0008095344,0.07151312,0.0003721998,0.001818446,0.03776331,0.45966,0.3937355],"study_design_scores_gemma":[0.000118888,0.0006780185,0.02146832,0.002529354,0.0000606352,0.0009277441,0.1278271,0.0006571346,0.001610195,0.0396939,0.8042734,0.0001553427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1588373,0.003791576,0.0249585,0.5350903,0.008522427,0.001889401,0.0005733884,0.002025827,0.2643113],"genre_scores_gemma":[0.7891815,0.004108519,0.03502943,0.08650641,0.002536143,0.001918068,0.0005313197,0.0004431986,0.07974535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04178774,"threshold_uncertainty_score":0.1397939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09306082537938051,"score_gpt":0.4944735330266483,"score_spread":0.4014127076472678,"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."}}