{"id":"W2947579032","doi":"10.5206/elip.v2i1.6202","title":"Mentoring for Librarianship and Beyond","year":2019,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mentorship; Passion; Directory; Library science; Information professional; Field (mathematics); Sociology; Medical education; Psychology; Medicine; Computer science","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":[0.01655737,0.0004834433,0.0005532686,0.001589142,0.013146,0.02128303,0.001565068,0.006497137,0.0157949],"category_scores_gemma":[0.02693939,0.0002334521,0.0005994781,0.001822634,0.0197851,0.01813385,0.01473163,0.007894845,0.003656525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004888615,"about_ca_system_score_gemma":0.009644144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931475,"about_ca_topic_score_gemma":0.003002611,"domain_scores_codex":[0.9669917,0.02657086,0.0006033104,0.0007091275,0.003184011,0.001941012],"domain_scores_gemma":[0.9718512,0.01282506,0.001566776,0.002971594,0.003158004,0.007627212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006297664,0.0001395065,0.001494065,0.0003697512,0.00002160685,0.0007862222,0.09382456,0.00009942942,0.0003487135,0.5856426,0.1717126,0.1454979],"study_design_scores_gemma":[0.00001118845,0.00006599283,0.0005376848,0.0006186099,0.000007083978,0.0004444673,0.03617994,0.00009078385,0.000243762,0.05608555,0.9056889,0.00002600723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01404876,0.03179428,0.006107795,0.50666,0.004725145,0.00006030655,0.00003915859,0.0003603224,0.4362042],"genre_scores_gemma":[0.6932617,0.02027402,0.005898087,0.07210042,0.004787446,0.0001941516,0.00007986914,0.0003787891,0.2030255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02128303,"threshold_uncertainty_score":0.08756477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00525433741526267,"score_gpt":0.199901218821154,"score_spread":0.1946468814058913,"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."}}