{"id":"W3133492003","doi":"10.29173/iasl7525","title":"Advocacy for School Library Development","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); Order (exchange); Service (business); Public relations; Rural area; Business; ICTS; Reading (process); School library; Political science; Information and Communications Technology; Computer science; Library science; Marketing","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003115236,0.0001211596,0.0001409004,0.00008486777,0.0006803038,0.001042472,0.0004331105,0.00009113788,0.001991618],"category_scores_gemma":[0.000528552,0.0001155873,0.00005690072,0.0005042877,0.000137027,0.01918484,0.0001192023,0.0001124359,0.0002599478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002893594,"about_ca_system_score_gemma":0.003123684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001183472,"about_ca_topic_score_gemma":0.000001408571,"domain_scores_codex":[0.9986017,0.00001206468,0.0003167148,0.0002654003,0.0003788523,0.0004252417],"domain_scores_gemma":[0.9987399,0.00005189169,0.0001114055,0.0000653946,0.0007186553,0.0003127648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000309384,0.0000670908,0.01514053,0.000078537,0.0000156518,0.000002228842,0.7161685,2.891606e-7,0.00007260872,0.1289299,0.1045912,0.03490255],"study_design_scores_gemma":[0.0001737317,0.00002394779,0.003144533,0.00004405039,0.000002566344,0.000001573357,0.1548588,0.00003668435,0.00267354,0.003839559,0.8350239,0.0001771869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685588,0.0001297985,0.0007282658,0.02284724,0.0005118629,0.0005855066,0.0000252314,0.0004518697,0.2061614],"genre_scores_gemma":[0.9120266,0.00007687479,0.01626715,0.008954229,0.0004618386,0.0001027296,0.00005587598,0.00001311842,0.06204153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7304327,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652426149467783,"score_gpt":0.2879668665161446,"score_spread":0.2614426050214667,"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."}}