{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001047741,0.00013769,0.0001283561,0.0002318017,0.000147314,0.0009067467,0.0005008533,0.00004645286,0.0001638619],"category_scores_gemma":[0.000009964901,0.0001304096,0.00005439584,0.0003157851,0.00001906087,0.04353012,0.0002518944,0.00008380877,0.00006712995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008700756,"about_ca_system_score_gemma":0.00005463135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002391418,"about_ca_topic_score_gemma":5.971685e-8,"domain_scores_codex":[0.999145,0.00001996875,0.0002248183,0.0002100403,0.0001597925,0.0002403831],"domain_scores_gemma":[0.9994059,0.000085481,0.0001092779,0.0002851607,0.00002234671,0.0000918441],"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":[0.00002322463,0.00001378734,0.004102454,0.00008850999,0.0000270923,2.321381e-7,0.03911919,0.00006009413,0.00004934425,0.9456398,0.003007884,0.007868372],"study_design_scores_gemma":[0.001937606,0.0003443014,0.03626917,0.00008212751,0.00001257466,0.00001359087,0.03451005,0.07840418,0.004452862,0.04392787,0.7991394,0.0009063158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3144264,0.002564173,0.06086113,0.04247092,0.002075226,0.001738703,0.00004701619,0.002385427,0.573431],"genre_scores_gemma":[0.9184674,0.0001123961,0.07383993,0.003091228,0.0002660571,0.0000522015,0.00006323172,0.00002345715,0.00408408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9017119,"threshold_uncertainty_score":0.9698476,"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."}}