{"id":"W2760245420","doi":"10.29173/slw6919","title":"Storytelling's Impact on School Library Circulation","year":2017,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Reading (process); Session (web analytics); Intervention (counseling); Psychology; School library; Narrative; Literature; Art; Library science; Computer science; Linguistics; World Wide Web; Philosophy","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":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003498585,0.0003385404,0.0003552057,0.0002556566,0.003338407,0.0007888089,0.0007903921,0.0002538279,0.007537804],"category_scores_gemma":[0.00129451,0.0002860547,0.0001927908,0.0001731487,0.0001646627,0.004398705,0.000197878,0.001119847,0.01007606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342312,"about_ca_system_score_gemma":0.001437908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581223,"about_ca_topic_score_gemma":0.000007641244,"domain_scores_codex":[0.9975807,0.0002419697,0.0005661579,0.0005066395,0.0003648311,0.0007396717],"domain_scores_gemma":[0.9966213,0.0005176407,0.0005841287,0.001474357,0.00006693319,0.0007356979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209279,0.00009441007,0.7204385,0.00007070514,0.00005757483,0.00000686436,0.0004824468,0.0002502795,0.00003799446,0.01395671,0.2586312,0.005652371],"study_design_scores_gemma":[0.0004837103,0.00007136969,0.7660767,0.0003948078,0.00001920944,7.689761e-7,0.0003532956,0.0001144899,0.0001082937,0.02139964,0.2106298,0.0003479212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.477835,0.0004602208,0.0001579774,0.005106024,0.003708834,0.0007276369,0.00005120681,0.0007135465,0.5112396],"genre_scores_gemma":[0.9338629,0.00006259434,0.0006638029,0.002110835,0.002555166,0.00009297052,0.0001477282,0.000101098,0.06040288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.456028,"threshold_uncertainty_score":0.9999592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04636173931902098,"score_gpt":0.3658859379248183,"score_spread":0.3195241986057973,"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."}}