{"id":"W3143613760","doi":"10.29173/iasl7851","title":"School Library as a \"Culture Agent\"","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Jewish Identity and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Population; Judaism; The Internet; Sociology; Political science; Geography; Law; World Wide Web; Demography; Computer 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":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002678978,0.0001502038,0.0001936823,0.0000347782,0.0006961589,0.00122926,0.0004421713,0.0002681493,0.003537946],"category_scores_gemma":[0.0008456003,0.0001546978,0.0001391526,0.0005974651,0.0002714096,0.002324699,0.0001964013,0.0003856952,0.0008106575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005455883,"about_ca_system_score_gemma":0.001113648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003375231,"about_ca_topic_score_gemma":0.00005650567,"domain_scores_codex":[0.9983606,0.00003826294,0.0001958756,0.0003916373,0.0005532408,0.0004603697],"domain_scores_gemma":[0.9986247,0.00002189932,0.00008560645,0.00008300587,0.0007970456,0.0003876838],"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":[0.0000047476,0.0001194297,0.03685824,0.0000593356,0.00005131959,0.00004645367,0.531849,6.790967e-8,0.0003544225,0.2152644,0.213839,0.001553547],"study_design_scores_gemma":[0.0002003136,0.00003720998,0.005628261,0.00007008824,0.00002080057,0.000008547417,0.4230792,0.000004183655,0.0008180115,0.0227452,0.5471209,0.0002672836],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6089907,0.0004231053,0.00001438033,0.007554892,0.0002758773,0.0001500456,0.00002224724,0.0003038201,0.3822649],"genre_scores_gemma":[0.9215857,0.0008427703,0.0004782527,0.002607287,0.0005364948,0.00001815586,0.00001371334,0.00001386219,0.07390377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.333282,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088385377113363,"score_gpt":0.2844886656622673,"score_spread":0.2636048118911337,"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."}}