{"id":"W4310102531","doi":"10.29173/iasl8537","title":"Teacher Librarians Supporting STEM Education","year":2022,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Research and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Mathematics education; Psychology; 21st century skills; Professional development; Pedagogy; Medical education; Medicine","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":[0.006333725,0.0002152333,0.0006995095,0.001987772,0.004339008,0.006043843,0.0009490204,0.001031287,0.03815392],"category_scores_gemma":[0.03542059,0.0004977674,0.000402044,0.002570108,0.0007260664,0.002800839,0.003328124,0.001039877,0.01603359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530413,"about_ca_system_score_gemma":0.009949191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516502,"about_ca_topic_score_gemma":0.004175248,"domain_scores_codex":[0.992175,0.003768481,0.0006996148,0.0006913756,0.001948311,0.000717152],"domain_scores_gemma":[0.9565737,0.01763645,0.007306797,0.003276289,0.007872951,0.007333871],"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":[0.0008784655,0.005722576,0.2155878,0.002836112,0.00008337526,0.00121517,0.07068682,0.0002372523,0.007246076,0.002366755,0.06925137,0.6238883],"study_design_scores_gemma":[0.0005876503,0.003157637,0.2197016,0.001204579,0.0003550228,0.002136798,0.1326935,0.0006085107,0.02331974,0.001557819,0.6145543,0.0001227412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368532,0.005336653,0.004194373,0.01151768,0.0003356231,0.0009801636,0.001060621,0.001677145,0.1380447],"genre_scores_gemma":[0.9223796,0.003547618,0.01249454,0.003205359,0.0001968216,0.0004959375,0.0007664437,0.0001905509,0.0567232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03815392,"threshold_uncertainty_score":0.1276376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551732071175432,"score_gpt":0.3274068406777378,"score_spread":0.2818895199659835,"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."}}