{"id":"W2968046759","doi":"10.29173/iasl7232","title":"Examining awareness and utilization of digital content in Japanese schools via library administrators at elementary, junior high, and high schools","year":2016,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); School library; Digital library; Digital content; Computer science; Mathematics education; Library science; World Wide Web; Multimedia; Pedagogy; Public relations; Sociology; Psychology; Political 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002293393,0.0001793339,0.0003250687,0.00366709,0.001212676,0.002161185,0.0003680375,0.0004010652,0.001988331],"category_scores_gemma":[0.007561566,0.0003880086,0.000471015,0.002668647,0.0007202753,0.001644399,0.001512479,0.000715796,0.0004782093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341232,"about_ca_system_score_gemma":0.00198516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585708,"about_ca_topic_score_gemma":0.04712037,"domain_scores_codex":[0.9981482,0.000468463,0.0003202354,0.0002241825,0.0004291268,0.0004098863],"domain_scores_gemma":[0.9885025,0.002459679,0.004550466,0.0003753732,0.002605091,0.001506988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001276418,0.00005895431,0.9894105,0.00001903069,0.000009662984,0.00002604516,0.007769797,0.000009917375,0.000168496,0.00002823258,0.0000578448,0.002428832],"study_design_scores_gemma":[9.476974e-7,0.00005960653,0.9774945,0.00001144601,0.00001792564,0.00002790533,0.02183124,0.00004955439,0.0001576657,0.00001091377,0.0003327857,0.000005483965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992392,0.00004010823,0.00002886221,0.00003614341,0.000001241844,0.000005596631,0.00003829472,0.000002180439,0.000608427],"genre_scores_gemma":[0.9994324,0.00007131307,0.00005271652,0.00003134305,0.000003449223,0.000009282348,0.00005604233,0.000001604471,0.0003418136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978388,"threshold_uncertainty_score":0.05141318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398637781297698,"score_gpt":0.2402479697525824,"score_spread":0.1962615919396054,"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."}}