{"id":"W2152077319","doi":"10.1080/17441692.2015.1057091","title":"Mentoring health researchers globally: Diverse experiences, programmes, challenges and responses","year":2015,"lang":"en","type":"article","venue":"Global Public Health","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Public Health Ontario; University of Toronto","funders":"International Development Research Centre","keywords":"Mentorship; Transformative learning; Reciprocity (cultural anthropology); Qualitative research; Public relations; Medical education; Sociology; Psychology; Medicine; Political science; Pedagogy; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03021284,0.000855292,0.001026179,0.001448008,0.01056999,0.00802383,0.002328788,0.003267409,0.002876244],"category_scores_gemma":[0.0409262,0.0006102572,0.0006402401,0.002091304,0.008072649,0.005420903,0.02512884,0.004616885,0.0003285442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002565023,"about_ca_system_score_gemma":0.003900636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294624,"about_ca_topic_score_gemma":0.003105586,"domain_scores_codex":[0.9580103,0.03312198,0.0008127546,0.001076386,0.002212444,0.004766171],"domain_scores_gemma":[0.9646538,0.02086717,0.00188994,0.001357803,0.002024997,0.009206378],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009902215,0.0000968097,0.01125822,0.0003126146,0.00002194158,0.001572681,0.9603161,0.000129797,0.0007188522,0.001566722,0.001407366,0.02249986],"study_design_scores_gemma":[0.00001265171,0.0001977644,0.002936694,0.0002484728,0.000009549613,0.0007891475,0.9800802,0.00007335995,0.000302023,0.001056333,0.01425451,0.00003929856],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747317,0.001854824,0.00321302,0.009266014,0.0002501589,0.0003062602,0.00008945577,0.00007138214,0.01021718],"genre_scores_gemma":[0.9932657,0.001096443,0.001597982,0.001739351,0.00008687459,0.0003124294,0.00005080608,0.00004889059,0.001801481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9697872,"threshold_uncertainty_score":0.1597826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.414666564205606,"score_gpt":0.4728110948205845,"score_spread":0.05814453061497848,"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."}}