{"id":"W1498753860","doi":"10.1007/11686699_57","title":"Collaborative Virtual Learning Model for Web Intelligence","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Visualization; Human–computer interaction; Collaborative learning; Process (computing); World Wide Web; Information visualization; Multimedia; Knowledge management; Artificial intelligence","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":[0.001117048,0.0004598616,0.0005751835,0.000850995,0.001256417,0.003136549,0.0029108,0.00165121,0.01208351],"category_scores_gemma":[0.002907756,0.0002460949,0.0008708817,0.001212904,0.001147001,0.006490452,0.002484137,0.001480301,0.002571038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359463,"about_ca_system_score_gemma":0.001537537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004488415,"about_ca_topic_score_gemma":0.004505367,"domain_scores_codex":[0.9989533,0.0003996819,0.00006214009,0.0001853784,0.0002985197,0.0001008226],"domain_scores_gemma":[0.9990183,0.0003520389,0.00004894748,0.0002710901,0.0001774246,0.0001322134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000100031,0.0002148444,0.0002951978,0.00007406417,0.00003320597,0.0001451343,0.0003301862,0.05767618,0.0005245617,0.8508281,0.009713781,0.08006465],"study_design_scores_gemma":[0.00004327804,0.00005231083,0.0001389265,0.00003071306,0.00003075014,0.000122393,0.0001172927,0.4468639,0.0007556248,0.519407,0.03241563,0.00002210511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01299444,0.0004709112,0.9309886,0.001150615,0.0001785859,0.0001471603,0.0002722199,0.0008481868,0.05294936],"genre_scores_gemma":[0.5206572,0.0007481109,0.4020641,0.0003341063,0.0001680724,0.0006753278,0.0009988144,0.0002109695,0.07414329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01208351,"threshold_uncertainty_score":0.04042333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079554625713649,"score_gpt":0.263190072634453,"score_spread":0.2423945263773165,"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."}}