{"id":"W70581565","doi":"","title":"Evaluating the Impact of the School Library Resource Center on Learning.","year":2001,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Public relations; Information and Communications Technology; Resource (disambiguation); Accountability; School library; Inclusion (mineral); Government (linguistics); Political science; Sociology; Pedagogy; Library science; Computer science; Social 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0317742,0.0006724236,0.0009632431,0.003136551,0.002598815,0.007184425,0.002805664,0.001412928,0.01506552],"category_scores_gemma":[0.08741254,0.0004137549,0.001158165,0.003380795,0.001830931,0.006822391,0.006700615,0.001444682,0.002945373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009268985,"about_ca_system_score_gemma":0.01317229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707165,"about_ca_topic_score_gemma":0.02911353,"domain_scores_codex":[0.9595779,0.02441711,0.002269097,0.001839432,0.01005476,0.001841672],"domain_scores_gemma":[0.8595647,0.06626879,0.01755672,0.009252358,0.03368339,0.0136741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01222513,0.0288026,0.2370237,0.005799682,0.0007091882,0.0004397762,0.01890057,0.003314859,0.001939595,0.006022623,0.01917844,0.6656438],"study_design_scores_gemma":[0.002494173,0.09795884,0.6819242,0.002832194,0.002252598,0.0002821547,0.07223984,0.004442757,0.01910739,0.003039493,0.1129107,0.0005157297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568588,0.00103575,0.001418154,0.001641996,0.0001645046,0.003527059,0.001763977,0.0003131467,0.03327656],"genre_scores_gemma":[0.9824851,0.0006712936,0.007264921,0.0004264823,0.00006120281,0.001804737,0.001182673,0.00008038685,0.006023236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0317742,"threshold_uncertainty_score":0.16804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253151359249125,"score_gpt":0.3359535030841333,"score_spread":0.3034219894916421,"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."}}