{"id":"W2422101986","doi":"","title":"The Academic Data Librarian Profession in Canada: History and Future Directions","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Public relations; Political science; Library science; Data science; Sociology; Medical education; Computer science; Medicine","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01870734,0.0004821724,0.001061754,0.01023806,0.02495892,0.02787277,0.003550373,0.006582874,0.02647012],"category_scores_gemma":[0.02301713,0.0007269034,0.0005901443,0.03667189,0.02277392,0.01761261,0.006252914,0.00883944,0.002932055],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1773825,"about_ca_system_score_gemma":0.428335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.966844,"about_ca_topic_score_gemma":0.9872329,"domain_scores_codex":[0.9878526,0.001364734,0.0005863757,0.001099601,0.005284261,0.003812513],"domain_scores_gemma":[0.909389,0.01089601,0.00346158,0.001357794,0.04527685,0.02961878],"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":[0.0001221111,0.0001867164,0.01687866,0.002796603,0.00003603855,0.0003706905,0.01246387,0.0002446315,0.000174125,0.1377596,0.4846541,0.344313],"study_design_scores_gemma":[0.00001610633,0.00003482004,0.0179907,0.004693658,0.00003586295,0.0001917756,0.03763263,0.0002591937,0.0001679455,0.00931919,0.9295652,0.0000929253],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007634625,0.217957,0.0007155816,0.7026188,0.004106367,0.00004784356,0.001348277,0.0001325862,0.06543891],"genre_scores_gemma":[0.2361713,0.5846746,0.003922512,0.09896667,0.003171476,0.00008971085,0.001347159,0.0002190627,0.07143758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9721273,"threshold_uncertainty_score":0.9541197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047061596898994,"score_gpt":0.3476783132924967,"score_spread":0.1429721536025972,"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."}}