{"id":"W3097521102","doi":"10.5206/elip.v3i1.8580","title":"The Future Academic Librarian's Toolkit","year":2020,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; World Wide Web; Library science; Mathematics education; Data science; Psychology","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":[0.009817922,0.0006278639,0.0009906773,0.0086077,0.00217595,0.009562583,0.002386604,0.003443455,0.02308113],"category_scores_gemma":[0.02055874,0.0006902869,0.0007802366,0.01160783,0.002529591,0.01210517,0.006708895,0.005002541,0.01900791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006161402,"about_ca_system_score_gemma":0.02811906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01691268,"about_ca_topic_score_gemma":0.02882274,"domain_scores_codex":[0.992431,0.002516839,0.0007965866,0.0005010412,0.003258527,0.0004960654],"domain_scores_gemma":[0.9803553,0.006925218,0.0007946327,0.0007260795,0.008653997,0.002544815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001216632,0.0000208563,0.00008416929,0.001936041,0.00000930619,0.00004872729,0.0005316666,0.00006507605,0.00006573152,0.01272197,0.7198476,0.2646567],"study_design_scores_gemma":[0.000001594483,0.000002771833,0.0001253276,0.001369856,0.000003540532,0.00006233607,0.0001598031,0.000007302807,0.00001322347,0.0005484874,0.9977003,0.000005422102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0002846732,0.868673,0.001472615,0.07949638,0.008508389,0.00006554473,0.000442111,0.0003117932,0.04074553],"genre_scores_gemma":[0.006247386,0.8903881,0.004533313,0.04441879,0.003640353,0.0001839636,0.001398482,0.0002873136,0.04890238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02308113,"threshold_uncertainty_score":0.07721406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029640356437659,"score_gpt":0.2576544460136895,"score_spread":0.2473580424493129,"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."}}