{"id":"W2829344804","doi":"10.22374/cjgim.v13i2.228","title":"Investing in the Future: A Comprehensive Evaluation of Mentorship Networks for Residents","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of General Internal Medicine","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mentorship; Medicine; Medical education; Career development; Family medicine; Nursing","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":[0.01522008,0.0004843257,0.0005511146,0.001667293,0.001769621,0.001094413,0.001200425,0.0006232042,0.001817955],"category_scores_gemma":[0.02647334,0.0002442724,0.001004704,0.001216397,0.0005882201,0.001700606,0.002474324,0.0008444118,0.0001583216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005683085,"about_ca_system_score_gemma":0.01252162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011117,"about_ca_topic_score_gemma":0.04396178,"domain_scores_codex":[0.9943315,0.002582378,0.0004587033,0.0002527556,0.001681938,0.0006926933],"domain_scores_gemma":[0.9812158,0.004168699,0.004010352,0.0005931267,0.003152959,0.006859138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003393535,0.01118115,0.5683709,0.002237549,0.0008221601,0.0002507638,0.01374663,0.001277443,0.0005158004,0.0003720249,0.004344287,0.3934878],"study_design_scores_gemma":[0.0007921364,0.01507106,0.9582325,0.0007406143,0.000474747,0.0001848765,0.01443106,0.001336043,0.0004255938,0.0001945326,0.008051058,0.00006579538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927794,0.0008885151,0.0002730105,0.0005743139,0.00004213208,0.002407024,0.0004004107,0.00002825928,0.002606814],"genre_scores_gemma":[0.9919212,0.001260306,0.002575754,0.0002173191,0.00005214425,0.002709309,0.0005442364,0.000007337199,0.0007122656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01522008,"threshold_uncertainty_score":0.08049244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1168372927779122,"score_gpt":0.3893578985841367,"score_spread":0.2725206058062244,"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."}}