{"id":"W3148248386","doi":"10.29173/iasl7741","title":"Assessing school libraries as learning environments","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; School library; Perception; Science learning; Psychology; Medical education; Computer science; Library science; Science 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":[0.003309807,0.0003179962,0.0003374492,0.003084572,0.001466224,0.006343678,0.0007190466,0.0004419981,0.005374839],"category_scores_gemma":[0.0122176,0.0002585842,0.0002934173,0.002130204,0.0008663966,0.003620228,0.004937116,0.0005341463,0.001184625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523444,"about_ca_system_score_gemma":0.002722853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00213299,"about_ca_topic_score_gemma":0.006608105,"domain_scores_codex":[0.9954449,0.002439335,0.0002512357,0.000361646,0.001036363,0.0004666595],"domain_scores_gemma":[0.9868195,0.004284545,0.003805471,0.000700441,0.00252987,0.00186016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004238528,0.002393018,0.6947256,0.0006529632,0.00009466131,0.0003185871,0.03908676,0.00207659,0.006172435,0.006428414,0.002910915,0.2447163],"study_design_scores_gemma":[0.00008177564,0.001636357,0.7897094,0.0002766933,0.0001488102,0.0002313357,0.1279449,0.002004411,0.01323703,0.003424197,0.06118583,0.0001193956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799462,0.0001952567,0.001829678,0.0001419618,0.000007445483,0.00007019419,0.000115744,0.0001169477,0.01757649],"genre_scores_gemma":[0.99383,0.0002463955,0.002557743,0.00005346462,0.000008534318,0.0000602848,0.0001229981,0.00001900727,0.003101637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006343678,"threshold_uncertainty_score":0.01798064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157838566023292,"score_gpt":0.3132170405582628,"score_spread":0.2716386548980299,"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."}}