{"id":"W2099404408","doi":"","title":"WIKIS WORK: ENHANCING STUDENT ENGAGEMENT WITH COLLABORATIVE TECHNOLOGY","year":2011,"lang":"en","type":"article","venue":"","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Warrant; Student engagement; Work (physics); Computer science; Knowledge management; World Wide Web; Engineering ethics; Data science; Sociology; Pedagogy; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004824497,0.0008371909,0.0005476633,0.001500817,0.002479959,0.006445186,0.001402075,0.001082961,0.004345154],"category_scores_gemma":[0.02032283,0.0003043546,0.0005457154,0.001100142,0.000997475,0.005937626,0.006806335,0.001123607,0.002027854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004786875,"about_ca_system_score_gemma":0.001277987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003948087,"about_ca_topic_score_gemma":0.0009367415,"domain_scores_codex":[0.9940616,0.003448393,0.0002858029,0.0005131418,0.001260637,0.0004303978],"domain_scores_gemma":[0.9847332,0.009947576,0.0008429959,0.001570159,0.0008621484,0.002044001],"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":[0.0008444886,0.0040539,0.02314859,0.002029843,0.0001827579,0.000740587,0.07408265,0.002127189,0.02133768,0.01300709,0.02357308,0.8348722],"study_design_scores_gemma":[0.0009515893,0.008579611,0.05640918,0.001068295,0.0005975157,0.002550228,0.08740591,0.03397626,0.06811058,0.05157588,0.6882899,0.0004850944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7599126,0.001086466,0.1531772,0.002890291,0.0006140402,0.001082443,0.0002847109,0.006719183,0.0742331],"genre_scores_gemma":[0.8704912,0.0006730332,0.108701,0.0003386058,0.0001734346,0.0009038869,0.0005008551,0.0005111124,0.01770676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006445186,"threshold_uncertainty_score":0.02551472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327686318004204,"score_gpt":0.3378295721487056,"score_spread":0.3050609403482852,"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."}}