{"id":"W4210874060","doi":"10.1108/lodj-01-2021-0032","title":"How to match mentors and protégés for successful mentorship programs: a review of the evidence and recommendations for practitioners","year":2022,"lang":"en","type":"review","venue":"Leadership & Organization Development Journal","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Mentorship; Matching (statistics); Psychology; Similarity (geometry); Originality; Experiential learning; Medical education; Applied psychology; Qualitative research; Computer science; Social psychology; Medicine; Mathematics education; Sociology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003302111,0.0004362119,0.0008993687,0.0002850574,0.0007376293,0.0002508715,0.0005624252,0.0002033984,0.000460411],"category_scores_gemma":[0.002400983,0.0003298868,0.0001317705,0.001068145,0.00005975409,0.0002726875,0.0001877162,0.0005551557,0.000003731097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005679777,"about_ca_system_score_gemma":0.0008707792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001404235,"about_ca_topic_score_gemma":0.000001592275,"domain_scores_codex":[0.996599,0.0005481431,0.00122128,0.0005769725,0.0005322194,0.000522406],"domain_scores_gemma":[0.9967543,0.0007116603,0.001640605,0.0002676499,0.0003745866,0.0002511232],"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":[0.00001708421,0.0001256831,0.0004275055,0.0739357,0.0005925787,9.367446e-7,0.008599874,6.581202e-8,0.000001058873,0.000578322,0.05175097,0.8639702],"study_design_scores_gemma":[0.0002858578,0.00008291451,0.0000290524,0.06298977,0.0004709431,0.000130153,0.00312351,9.750313e-8,0.000009799596,0.00002980997,0.9324966,0.0003515042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001035572,0.9591476,0.002619494,0.02865297,0.002339157,0.007142794,0.000021361,0.00003865547,0.00002765957],"genre_scores_gemma":[0.00001145938,0.9800506,0.009507905,0.001017587,0.0002375607,0.003041312,0.0002083149,0.0001016206,0.005823591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8807456,"threshold_uncertainty_score":0.9999153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2842960966177226,"score_gpt":0.4104056432897622,"score_spread":0.1261095466720396,"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."}}