{"id":"W113755896","doi":"","title":"Libraries in Charter Schools: A Content Analysis.","year":2002,"lang":"en","type":"article","venue":"Teacher librarian","topic":"Library Science and Administration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Charter; Content analysis; Content (measure theory); Charter school; Mathematics education; Political science; Psychology; Sociology; Pedagogy; Mathematics; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003660827,0.00010923,0.0001891381,0.0002771802,0.0002365165,0.0006408831,0.0004071844,0.0001093824,0.008317453],"category_scores_gemma":[0.00009135611,0.00009980614,0.0001037647,0.001592977,0.0001855594,0.005351001,0.00003737104,0.0002056403,0.0003270992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002447804,"about_ca_system_score_gemma":0.0001092354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000623557,"about_ca_topic_score_gemma":0.0006184434,"domain_scores_codex":[0.9985124,0.000249699,0.0002586877,0.0002924374,0.0003122234,0.0003745024],"domain_scores_gemma":[0.9994556,0.00004052873,0.0000707125,0.0002269077,0.00001042799,0.0001958683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000992544,0.0002470638,0.7643149,0.000003080948,0.00007502667,0.00002583853,0.04029115,0.000004801412,0.00007038419,0.1727362,0.01601982,0.006201807],"study_design_scores_gemma":[0.0008855027,0.0001216049,0.5485553,0.0000312466,0.0001036071,0.000001000007,0.03482109,0.002494809,0.0002358302,0.01281053,0.3992335,0.0007059537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5280153,0.0004084626,0.0001211861,0.05137539,0.0002419449,0.000328725,0.000006039613,0.0003087973,0.4191941],"genre_scores_gemma":[0.9634959,0.00002929886,0.0004540449,0.001214774,0.0002657993,0.00001537715,0.00001111648,0.000007505317,0.03450624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4354805,"threshold_uncertainty_score":0.9925891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344378061704588,"score_gpt":0.2927007906172626,"score_spread":0.1582629844468038,"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."}}