{"id":"W7071447439","doi":"","title":"School Library Trends: A Bibliometric and Content Analysis","year":2018,"lang":"en","type":"article","venue":"Digital Commons - LIU Promoting Scholarship and Creative Work of LIU Students, Faculty, and Staff (Long Island University)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bibliographical Society of Canada; Bibliographical Society of America","keywords":"Constructive; Content analysis; Social media; Scholarly communication; Field (mathematics); School library; Bibliometrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008176645,0.0003697375,0.0009237935,0.123681,0.00206007,0.004351609,0.001006254,0.0006542734,0.005595682],"category_scores_gemma":[0.03105529,0.0003736159,0.00130773,0.1445147,0.0009021707,0.004892367,0.00266459,0.0006345381,0.002014335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004114157,"about_ca_system_score_gemma":0.005113489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392151,"about_ca_topic_score_gemma":0.01217709,"domain_scores_codex":[0.9899917,0.001692568,0.001654582,0.0007082646,0.005418126,0.0005348378],"domain_scores_gemma":[0.9632277,0.01451479,0.00486048,0.001873497,0.01476559,0.0007579367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000269911,0.0005335158,0.6690304,0.00324922,0.0004296231,0.0003678397,0.01552606,0.001511924,0.002174928,0.007228033,0.03040376,0.2692748],"study_design_scores_gemma":[0.00003843911,0.0002715657,0.9111674,0.000450467,0.0002707184,0.0003905951,0.01963363,0.007462032,0.002288459,0.001860318,0.05606375,0.0001025514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8627765,0.001995634,0.006061496,0.001879654,0.0001238207,0.002600349,0.07818031,0.001137224,0.04524494],"genre_scores_gemma":[0.9035978,0.002571475,0.02451173,0.0002150497,0.0004253443,0.003631252,0.05515031,0.0003376406,0.009559324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8763191,"threshold_uncertainty_score":0.04324269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170193042447466,"score_gpt":0.3162338772158361,"score_spread":0.2645319467913614,"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."}}