{"id":"W2947404801","doi":"10.21083/partnership.v14i1.5172","title":"Pathways to Becoming an Academic Subject Specialist: Insights from Three Librarians","year":2019,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Perspective (graphical); Professional development; Sociology; Career Pathways; Public relations; Library science; Pedagogy; Engineering ethics; Medical education; Political science; Computer science; Medicine; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01516351,0.0003468761,0.0008620979,0.003939955,0.02442246,0.01440238,0.002298202,0.003211672,0.004637816],"category_scores_gemma":[0.03358242,0.0006913485,0.0005339811,0.005799499,0.007764726,0.007738792,0.01553265,0.004478488,0.001217787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01238626,"about_ca_system_score_gemma":0.02197224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03146971,"about_ca_topic_score_gemma":0.07682706,"domain_scores_codex":[0.9860156,0.009010681,0.000670065,0.0005382971,0.001783408,0.001981975],"domain_scores_gemma":[0.9670534,0.01807755,0.002299335,0.0007202547,0.004283259,0.007566212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000438417,0.0001435352,0.01103684,0.0001205648,0.00000608092,0.002001904,0.9687163,0.00003025091,0.0001457917,0.003159017,0.002062421,0.01253357],"study_design_scores_gemma":[0.00000632321,0.00004102216,0.002975841,0.00008250801,0.000005015905,0.0004527236,0.9803641,0.00004112886,0.0001183953,0.0006659192,0.0152344,0.0000127045],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595186,0.001620804,0.001437171,0.01239029,0.0000739199,0.0001949829,0.00009165948,0.00004200429,0.02463065],"genre_scores_gemma":[0.9851587,0.002258006,0.001821854,0.003380425,0.00003988631,0.0001398679,0.00009937018,0.00005233315,0.0070495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03146971,"threshold_uncertainty_score":0.08986902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045235032101654,"score_gpt":0.3619884865311586,"score_spread":0.2574649833209931,"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."}}