{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008014161,0.0002346389,0.0004462347,0.00025875,0.001702288,0.001541373,0.0004040807,0.000315675,0.0008275838],"category_scores_gemma":[0.003066185,0.0002593747,0.0001707951,0.003647924,0.000294224,0.0014759,0.0002440265,0.0003318881,0.00007016162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660334,"about_ca_system_score_gemma":0.001581538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121432,"about_ca_topic_score_gemma":0.001963067,"domain_scores_codex":[0.9974299,0.0003904848,0.0003845274,0.0005780623,0.00044094,0.0007760912],"domain_scores_gemma":[0.9985543,0.0001591217,0.000172304,0.0003527474,0.0002594669,0.0005020725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004433319,0.0001570305,0.4027611,0.00003906382,0.00130546,0.00001672853,0.004245478,0.0002058469,0.0006125736,0.0979623,0.4835117,0.008739429],"study_design_scores_gemma":[0.003217235,0.0002028424,0.3547697,0.00009194938,0.001866969,0.000001507042,0.01949377,0.0004918714,0.002449143,0.1575411,0.4582966,0.001577286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3630352,0.003790407,0.01591789,0.5183898,0.003260859,0.005822656,0.0003524879,0.002791106,0.0866396],"genre_scores_gemma":[0.9064537,0.00006165332,0.02490305,0.007406502,0.002601854,0.0002473983,0.0001170091,0.0000765416,0.05813226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5434185,"threshold_uncertainty_score":0.9999859,"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."}}