{"id":"W2526254283","doi":"10.18438/b8c34q","title":"Networks: Making Connections and Sharing Information","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003393711,0.0007055014,0.0006341224,0.002025164,0.002505888,0.006938129,0.001701865,0.002249505,0.0580424],"category_scores_gemma":[0.02651069,0.0005251995,0.0007208686,0.003435331,0.002936977,0.0137916,0.005226064,0.001869854,0.01140413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451095,"about_ca_system_score_gemma":0.002608397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781699,"about_ca_topic_score_gemma":0.002530337,"domain_scores_codex":[0.9970425,0.001381955,0.0002180669,0.0005535834,0.0006461046,0.0001577798],"domain_scores_gemma":[0.9786407,0.01282552,0.002019751,0.002422577,0.002118926,0.001972453],"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":[0.0003736002,0.0001697933,0.004243433,0.007398911,0.0001888087,0.0005956909,0.00737517,0.001673081,0.003837403,0.3301949,0.1382667,0.5056825],"study_design_scores_gemma":[0.00005656998,0.0002050562,0.004039557,0.004250728,0.0002704693,0.0007355214,0.005775875,0.00285427,0.004106216,0.1706731,0.8069254,0.0001071078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05280587,0.06529399,0.2361297,0.1099923,0.02379272,0.0009149044,0.005737044,0.002794028,0.5025396],"genre_scores_gemma":[0.5751505,0.08043151,0.1152812,0.006064976,0.005525537,0.00190866,0.004575371,0.0007370844,0.2103252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0580424,"threshold_uncertainty_score":0.1941712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806698424480365,"score_gpt":0.3074513486653671,"score_spread":0.2893843644205635,"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."}}