{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564242,0.0002110439,0.000281989,0.0003021318,0.0006447261,0.0006493136,0.0005414221,0.0001369136,0.000594125],"category_scores_gemma":[0.0003361304,0.0001851653,0.000199092,0.0004683009,0.00029789,0.0003261199,0.0000286082,0.0003017554,0.00005395118],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002475087,"about_ca_system_score_gemma":0.008383283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01000047,"about_ca_topic_score_gemma":0.2492131,"domain_scores_codex":[0.9971589,0.0001670791,0.0006953729,0.0002732341,0.0009003671,0.0008050157],"domain_scores_gemma":[0.9978572,0.00006494683,0.0001402387,0.0001673106,0.0004076547,0.001362619],"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":[0.00002802153,0.00008579904,0.1484307,0.0003295722,0.000529345,0.0006405931,0.2423349,0.00001343824,0.00002384226,0.008311852,0.2003972,0.3988748],"study_design_scores_gemma":[0.0001542872,0.00009800631,0.009101861,0.0004076262,0.00004644472,0.00001179876,0.01147071,0.000005446145,0.0001179998,0.0008571135,0.9774629,0.0002657521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839599,0.005273669,0.0002234447,0.04423665,0.008174243,0.001823819,0.00004344069,0.0002103447,0.1004154],"genre_scores_gemma":[0.9934347,0.00007944342,0.002125848,0.0004162217,0.0004974544,0.00004490197,0.00001401839,0.00002898846,0.003358457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7770658,"threshold_uncertainty_score":0.9972383,"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."}}