{"id":"W2980058748","doi":"10.29173/iasl7390","title":"School Librarians as Data Coaches","year":2019,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Museum and Library Services","keywords":"Information literacy; Medical education; Focus group; Service (business); Psychology; Pedagogy; Medicine; Sociology; Business","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":[0.01457577,0.0004479721,0.0008294209,0.006399811,0.01469057,0.01855659,0.001967812,0.003001538,0.03307126],"category_scores_gemma":[0.03965236,0.001418969,0.0005225171,0.005814552,0.0046941,0.008002866,0.009297231,0.003951414,0.01157065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005885313,"about_ca_system_score_gemma":0.0173392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007602224,"about_ca_topic_score_gemma":0.02097909,"domain_scores_codex":[0.9705635,0.01658334,0.001631927,0.003397993,0.004278567,0.003544623],"domain_scores_gemma":[0.9489191,0.01873296,0.004137688,0.005954839,0.00823742,0.01401803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004141852,0.004623455,0.15812,0.000918619,0.0001120271,0.002290798,0.2172135,0.0002996137,0.001418879,0.03576179,0.1675284,0.4112986],"study_design_scores_gemma":[0.0001827032,0.0004274447,0.03492406,0.0006918025,0.00008413595,0.001240414,0.2666859,0.0005583795,0.002178652,0.006734331,0.6861989,0.00009318659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6814563,0.007140428,0.006254384,0.04375528,0.001092808,0.001359731,0.0005277023,0.001701962,0.2567115],"genre_scores_gemma":[0.8175125,0.002956218,0.008399247,0.0108107,0.0002326849,0.0005055662,0.0004814125,0.0002940169,0.1588075],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03307126,"threshold_uncertainty_score":0.1106343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2469035032525946,"score_gpt":0.4006705300904677,"score_spread":0.153767026837873,"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."}}