{"id":"W3014413805","doi":"10.25011/cim.v43i1.33865","title":"Can a virtual on-line nation-wide mentorship-matching process meet the need?","year":2020,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mentorship; Battle; EPIC; Key (lock); Matching (statistics); Process (computing); Psychology; Medicine; History; Computer science; Literature; Ancient history; Medical education; Art; Computer security; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03018036,0.0005118886,0.0004555456,0.0009366735,0.01114881,0.01969837,0.004120989,0.006248184,0.05675458],"category_scores_gemma":[0.0585231,0.0003697147,0.0006780632,0.001146727,0.006094003,0.02805618,0.02580787,0.005946662,0.02026151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002727662,"about_ca_system_score_gemma":0.0156825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611492,"about_ca_topic_score_gemma":0.005013209,"domain_scores_codex":[0.9840513,0.01104504,0.0002764043,0.0009346973,0.001460328,0.002232269],"domain_scores_gemma":[0.9587213,0.009259174,0.002195775,0.005042608,0.002772949,0.02200817],"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":[0.0003851034,0.001995381,0.006621872,0.00050874,0.00005717329,0.0007447294,0.02738949,0.0008168215,0.0006216039,0.207844,0.226311,0.5267041],"study_design_scores_gemma":[0.0002381853,0.0007309897,0.005242497,0.000944593,0.00002610866,0.0007134947,0.05947409,0.002012665,0.0006866148,0.1449022,0.7848867,0.0001419006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07181479,0.003093937,0.06620549,0.4932226,0.01009466,0.00092408,0.0002082188,0.00254952,0.3518868],"genre_scores_gemma":[0.7602339,0.003021217,0.06296843,0.06723808,0.003366312,0.001413975,0.0003768873,0.0009274085,0.1004537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05675458,"threshold_uncertainty_score":0.189863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2824700136361649,"score_gpt":0.4134175585978561,"score_spread":0.1309475449616911,"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."}}