{"id":"W2730649594","doi":"10.70000/cj.2004.2.607","title":"How different libraries handle their children’s collections","year":2004,"lang":"en","type":"article","venue":"Cybrarians Journal","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Library classification; School library; Special collections; Library of Congress Classification; History; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004853636,0.0003507173,0.0004008588,0.005070872,0.007670976,0.01432256,0.001592187,0.001189491,0.01326673],"category_scores_gemma":[0.02511203,0.0005510098,0.0007569589,0.006961132,0.002737633,0.01092854,0.005568451,0.001443724,0.002750591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01667153,"about_ca_system_score_gemma":0.01409286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2024165,"about_ca_topic_score_gemma":0.3271286,"domain_scores_codex":[0.991892,0.002562917,0.0005499493,0.0007164747,0.001784878,0.002493813],"domain_scores_gemma":[0.9866493,0.003514929,0.002279755,0.0007411854,0.003557337,0.003257439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002396319,0.0001937963,0.3257258,0.0004481516,0.0001855335,0.00177089,0.3939895,0.0004730608,0.0009528091,0.01951271,0.05347762,0.2030305],"study_design_scores_gemma":[0.00002830422,0.00008202661,0.1820937,0.00053614,0.0000991501,0.001048597,0.6150104,0.000157135,0.001225929,0.002378847,0.1971982,0.0001416008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240703,0.004306785,0.001727388,0.01529345,0.0002755982,0.0001760672,0.001508498,0.0003449812,0.1522969],"genre_scores_gemma":[0.9592319,0.003924403,0.003527639,0.002891457,0.0001000269,0.0001284189,0.001128933,0.0003429661,0.02872424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2024165,"threshold_uncertainty_score":0.4024766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479326819684703,"score_gpt":0.2418640667544436,"score_spread":0.2170707985575966,"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."}}