{"id":"W328495518","doi":"10.29173/slw6983","title":"Policy Empowering School Libraries","year":2001,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Session (web analytics); Premise; Library science; School library; Task (project management); Section (typography); Resource (disambiguation); Sociology; Public relations; Political science; Computer science; World Wide Web; Management","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0005147612,0.0002915616,0.000296052,0.0006451459,0.001781491,0.003923571,0.001336493,0.000156872,0.01099186],"category_scores_gemma":[0.002011717,0.0002774201,0.0001622714,0.003061533,0.0007847771,0.06714984,0.0003411956,0.0004262707,0.003052791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009974508,"about_ca_system_score_gemma":0.002805036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007146902,"about_ca_topic_score_gemma":0.0000377225,"domain_scores_codex":[0.9968896,0.0002027365,0.0006424367,0.0004080787,0.0008080569,0.001049073],"domain_scores_gemma":[0.9977748,0.0002536797,0.000219596,0.000577571,0.00008416509,0.001090143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005647049,0.00003134737,0.0882701,0.00001165271,0.00001955267,0.00001720591,0.00694287,0.00002533045,0.00002580646,0.8129331,0.08614285,0.005523665],"study_design_scores_gemma":[0.0002664055,0.00002840182,0.02339294,0.00004710887,0.000004815989,0.000004858523,0.005612144,0.00003094739,0.000186702,0.0600226,0.9100348,0.0003682799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04459009,0.0006655821,0.0003658567,0.07110898,0.001155014,0.0004751959,0.00002122078,0.001190368,0.8804277],"genre_scores_gemma":[0.6168008,0.001060633,0.01072827,0.06275934,0.006466338,0.0001016575,0.0001061754,0.00008746044,0.3018893],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8238919,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554110741328274,"score_gpt":0.291935185822217,"score_spread":0.2763940784089343,"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."}}