{"id":"W2055579020","doi":"10.1145/2462932.2462976","title":"Supporting wiki users with natural language processing","year":2012,"lang":"en","type":"article","venue":"","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; World Wide Web; Architecture; Cultural heritage; Natural language; Natural language processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003361989,0.00003566001,0.00003488991,0.00002279389,0.0002833431,0.00008131169,0.00005637171,0.00002259004,0.0003788061],"category_scores_gemma":[0.00008254404,0.00002698775,0.000007431811,0.0002737971,0.00005407612,0.0005979848,0.000004755859,0.00004601513,0.00002902997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000471222,"about_ca_system_score_gemma":0.0001942847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003707792,"about_ca_topic_score_gemma":0.001627641,"domain_scores_codex":[0.9994512,0.00003483296,0.00006379164,0.0000569144,0.0001788917,0.0002144211],"domain_scores_gemma":[0.999752,0.00001572013,0.00004920043,0.00004424294,0.00007197481,0.00006685942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001686637,0.0001351673,0.2202826,0.00001887105,0.00001059029,9.941976e-7,0.5292293,0.000003318223,0.0006452758,0.03817302,0.01138381,0.2001002],"study_design_scores_gemma":[0.0001959952,0.0000157097,0.02396747,0.00001973014,0.00001388073,0.000001731368,0.7302249,0.0001135999,0.001198556,0.00004880899,0.2439535,0.0002461361],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7797623,0.0003669091,0.0002111974,0.002135696,0.0003726983,0.0001097378,2.217888e-7,0.0001228964,0.2169184],"genre_scores_gemma":[0.9814436,0.000001461902,0.001831719,0.0004886058,0.0004237979,0.000006077553,0.000002845034,0.000004111975,0.01579774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2325697,"threshold_uncertainty_score":0.4147661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155125493352057,"score_gpt":0.3735340527545435,"score_spread":0.361982797821023,"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."}}