{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007581211,0.000375875,0.0003240736,0.0006189951,0.0003923945,0.0006702064,0.0004558366,0.0003326617,0.005180612],"category_scores_gemma":[0.005401359,0.0001328254,0.0003947109,0.0003211446,0.0002395701,0.0004107816,0.0005955299,0.0004797788,0.0003269653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411885,"about_ca_system_score_gemma":0.0005875158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086624,"about_ca_topic_score_gemma":0.001950883,"domain_scores_codex":[0.9991589,0.0004758494,0.00004652044,0.00008129333,0.00014804,0.00008934135],"domain_scores_gemma":[0.996403,0.002146831,0.0005961763,0.0001283764,0.0001602438,0.0005654818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004076709,0.06630606,0.06802184,0.00291207,0.000513635,0.000800265,0.02462817,0.001320224,0.03092949,0.001037298,0.003964194,0.79549],"study_design_scores_gemma":[0.001671416,0.04131092,0.8704477,0.001054593,0.001346061,0.0006899674,0.01400818,0.002497526,0.03161784,0.001133097,0.03409765,0.0001250327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959373,0.0003341517,0.0003512577,0.0001321728,0.00002205489,0.00008812144,0.00004796968,0.0000870039,0.002999869],"genre_scores_gemma":[0.9954222,0.0004917368,0.002204218,0.00006748645,0.00003083268,0.0001849334,0.00009311114,0.00001446201,0.001491033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005180612,"threshold_uncertainty_score":0.01733094,"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."}}