{"id":"W4200396866","doi":"10.36834/cmej.72692","title":"“There's always something to talk about!” The unexpected benefits of a Canadian virtual diversity mentorship program","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Mentorship; Diversity (politics); World Wide Web; Computer science; Data science; Sociology; Political science; Law; Anthropology","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":[0.00546784,0.0003103713,0.000270442,0.0006674076,0.01506312,0.005171871,0.001333383,0.002847316,0.02351775],"category_scores_gemma":[0.01471101,0.000214071,0.0005327251,0.0009586401,0.004323711,0.00291356,0.005409003,0.006937876,0.001849126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02141573,"about_ca_system_score_gemma":0.07844443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7270697,"about_ca_topic_score_gemma":0.9285758,"domain_scores_codex":[0.9928524,0.001573546,0.00009419789,0.0002577545,0.00359836,0.001623671],"domain_scores_gemma":[0.9837739,0.001322092,0.0003439048,0.0002640469,0.004014624,0.01028137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001045936,0.00009572446,0.003983986,0.0002310005,0.00003125176,0.0003509675,0.003451822,0.0001264583,0.0006823022,0.01868114,0.8272263,0.1450343],"study_design_scores_gemma":[0.00004667593,0.0001089286,0.01907233,0.0004166334,0.00003853022,0.0004244175,0.008240886,0.0001714676,0.000406903,0.00425773,0.9667099,0.000105593],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01241246,0.008473502,0.00103498,0.8939686,0.01032238,0.00005154522,0.0002420376,0.0001384976,0.07335597],"genre_scores_gemma":[0.4902848,0.02678052,0.006877539,0.2642436,0.005992149,0.0001568452,0.000515657,0.0003588941,0.20479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2729303,"threshold_uncertainty_score":0.5490753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380290510993327,"score_gpt":0.3206082122891097,"score_spread":0.2825791611897771,"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."}}