{"id":"W2914330407","doi":"10.3138/jelis.60.1.2018-0005","title":"Diffusion of KM Education in LIS Schools","year":2019,"lang":"en","type":"article","venue":"Journal of Education for Library and Information Science","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Inclusion (mineral); China; Principal (computer security); Knowledge sharing; Sociology; Political science; Computer science; Knowledge management; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01027789,0.0001494584,0.0004655209,0.005035815,0.002852696,0.00543944,0.001091575,0.0009539434,0.002336449],"category_scores_gemma":[0.02712934,0.0003500534,0.0003171485,0.004272598,0.002955731,0.00391643,0.004864727,0.001250324,0.0002101422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00893358,"about_ca_system_score_gemma":0.01181315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688242,"about_ca_topic_score_gemma":0.02012387,"domain_scores_codex":[0.9929737,0.003164152,0.0004803002,0.0007260846,0.001526967,0.001128734],"domain_scores_gemma":[0.9657426,0.01465156,0.008427309,0.001776049,0.004997031,0.004405476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002793354,0.0006091688,0.5634225,0.0006041611,0.00004014658,0.0004146565,0.2003862,0.0007115374,0.001216663,0.01017739,0.0008291936,0.2213091],"study_design_scores_gemma":[0.00007609417,0.0006815601,0.7188092,0.0008549687,0.00004917908,0.0003192418,0.2436271,0.003808018,0.001747625,0.004554657,0.02538178,0.00009071817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928999,0.0003285203,0.0006734811,0.001321342,0.000008399827,0.00003375707,0.00002490351,0.00003174818,0.004678087],"genre_scores_gemma":[0.9991684,0.0001142868,0.0002677526,0.00004560656,0.000004347525,0.000008345206,0.00001261458,0.000003006515,0.0003755497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01688242,"threshold_uncertainty_score":0.06481791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009959216794783584,"score_gpt":0.3011341974501046,"score_spread":0.291174980655321,"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."}}