{"id":"W3200612275","doi":"10.29173/slw8235","title":"Social Network Analysis for School Librarians to Evaluate and Improve Teacher Collaboration","year":2021,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social network analysis; Social network (sociolinguistics); Process (computing); Citizen journalism; Medical education; Network analysis; Psychology; Test (biology); Pedagogy; Sociology; Mathematics education; Computer science; Social media; World Wide Web; Engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.02209765,0.0004208479,0.0004950804,0.01132019,0.003614384,0.003895601,0.0008997049,0.0005008782,0.005396243],"category_scores_gemma":[0.04376009,0.0003061327,0.0004925186,0.00780853,0.001110798,0.005161778,0.003726824,0.0006856835,0.0007213686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003700288,"about_ca_system_score_gemma":0.006571962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005915587,"about_ca_topic_score_gemma":0.0147776,"domain_scores_codex":[0.9800703,0.01569705,0.001022,0.0008105428,0.001913051,0.0004871016],"domain_scores_gemma":[0.9461704,0.03461527,0.006367486,0.003333778,0.008144788,0.001368316],"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":[0.0005698474,0.001077541,0.3094702,0.001165848,0.0003067115,0.0002483469,0.1098935,0.003318435,0.006190601,0.02325093,0.005234478,0.5392736],"study_design_scores_gemma":[0.0003871536,0.002470471,0.3500294,0.001441638,0.0005908788,0.00052043,0.4028134,0.0614996,0.02684245,0.05140379,0.1017377,0.0002630698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537717,0.0006669855,0.09082788,0.002271206,0.00007298573,0.003348408,0.001221251,0.0006821182,0.04713754],"genre_scores_gemma":[0.8844741,0.0002625873,0.1103704,0.00009872922,0.00001772785,0.001925126,0.00039295,0.00005391183,0.002404388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02209765,"threshold_uncertainty_score":0.1168649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771754077826943,"score_gpt":0.314196727485152,"score_spread":0.2964791867068826,"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."}}