{"id":"W4391263578","doi":"10.53379/cjcd.2024.372","title":"Retirees Paying it Forward: a retiree/faculty mentorship program","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Career Development","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Mentorship; Thematic analysis; Reflexivity; Medical education; Institution; Academic institution; Qualitative research; Career development; Psychology; Sociology; Pedagogy; Medicine; Library science; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007585765,0.0002676333,0.0002308811,0.0008851017,0.0131095,0.002218065,0.002312399,0.0009209052,0.004393969],"category_scores_gemma":[0.007089,0.0002386839,0.0002832626,0.0007680038,0.001639618,0.0009858025,0.005833412,0.002140646,0.0005995007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01010062,"about_ca_system_score_gemma":0.07258847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1221473,"about_ca_topic_score_gemma":0.5781711,"domain_scores_codex":[0.9963742,0.001314352,0.00005661618,0.0001343912,0.0004846332,0.001635791],"domain_scores_gemma":[0.9838223,0.000737729,0.0003655315,0.0002868463,0.001402071,0.01338549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007634468,0.009120546,0.1167443,0.0003819364,0.00005086428,0.003596062,0.2398872,0.0002802739,0.003549504,0.003450569,0.07560259,0.5465728],"study_design_scores_gemma":[0.0004217083,0.006493233,0.2675612,0.0005300209,0.00009119638,0.001219443,0.4853323,0.0007997647,0.001751044,0.0009038009,0.2347452,0.0001511382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778076,0.0005174475,0.0004605826,0.009677443,0.0002785655,0.0006717261,0.00009151793,0.0000731999,0.01042183],"genre_scores_gemma":[0.9827946,0.0006105415,0.002800661,0.002781691,0.0001069253,0.0003244324,0.0001194444,0.00002114365,0.01044052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1221473,"threshold_uncertainty_score":0.2428726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2615957860421212,"score_gpt":0.4143191390896845,"score_spread":0.1527233530475633,"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."}}