{"id":"W3204261049","doi":"10.29173/iasl8284","title":"Enabling School Librarians to Serve as Instructional Leaders of Multiple Literacies","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; School district; Population; Service (business); Supervisor; Sociology; Pedagogy; Public relations; Medical education; Political science; Library science; Medicine; Business; Computer science","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":[0.01029504,0.0003634284,0.0003730825,0.002047115,0.007838292,0.007633936,0.001530317,0.001265857,0.01293561],"category_scores_gemma":[0.01959559,0.0006334405,0.0005594904,0.001176395,0.001733948,0.005396494,0.01121231,0.002277436,0.006515995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258294,"about_ca_system_score_gemma":0.01503456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355345,"about_ca_topic_score_gemma":0.01344906,"domain_scores_codex":[0.9914426,0.005263995,0.000278769,0.0004896234,0.0008006977,0.001724213],"domain_scores_gemma":[0.9758932,0.004626881,0.002669239,0.001210855,0.003085575,0.01251432],"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":[0.00021479,0.004924961,0.2164938,0.001394988,0.00008186913,0.001934039,0.1373524,0.0002794651,0.004206298,0.009915373,0.07567631,0.5475257],"study_design_scores_gemma":[0.0005524426,0.003111597,0.1279521,0.001870801,0.0002760343,0.00120667,0.3112629,0.001004556,0.00828043,0.008904462,0.5354509,0.0001270092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8334069,0.002100978,0.01535709,0.02589914,0.0005029946,0.00123914,0.0001510694,0.001792317,0.1195504],"genre_scores_gemma":[0.945986,0.001515159,0.02801421,0.00386059,0.0001982409,0.0006559202,0.0001948121,0.00009605833,0.01947892],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01293561,"threshold_uncertainty_score":0.05444598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03579022918952541,"score_gpt":0.2960608678311021,"score_spread":0.2602706386415767,"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."}}