{"id":"W2601616524","doi":"10.18260/p.24433","title":"Librarians: The next generation. Mentorship at the University of Toronto","year":2015,"lang":"en","type":"article","venue":"","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mentorship; Internship; Medical education; Library science; Sociology; Socialization; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00959694,0.0009681816,0.0005751928,0.002179277,0.01768665,0.02356615,0.002483217,0.005388372,0.1067743],"category_scores_gemma":[0.01894511,0.0007260782,0.0006012964,0.003962103,0.008196372,0.008014958,0.01603657,0.004870791,0.03198076],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0358404,"about_ca_system_score_gemma":0.07305237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2748308,"about_ca_topic_score_gemma":0.5839802,"domain_scores_codex":[0.9825453,0.004075064,0.0006108974,0.0009778379,0.00839897,0.003391915],"domain_scores_gemma":[0.9169651,0.002466499,0.002085779,0.003062323,0.01218984,0.06323056],"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":[0.00002759677,0.00007686779,0.001824399,0.0001974344,0.000009783628,0.0004414299,0.008891927,0.00005991827,0.0003177594,0.005380911,0.8991421,0.08362986],"study_design_scores_gemma":[0.00000940391,0.00003639743,0.002170061,0.0001660817,0.000007148954,0.0002029985,0.01017545,0.00004053358,0.0001962585,0.0005184005,0.9864454,0.00003188628],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01690456,0.03301056,0.00248449,0.5935167,0.0223188,0.0003234771,0.0007482046,0.001957227,0.3287359],"genre_scores_gemma":[0.152299,0.02404509,0.003781195,0.03760869,0.004785571,0.0002005788,0.0006466605,0.0006505999,0.7759827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9641596,"threshold_uncertainty_score":0.5464622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153684591253104,"score_gpt":0.2919053679517749,"score_spread":0.1382207766986709,"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."}}