{"id":"W2041676769","doi":"10.1142/s0218843008001932","title":"EVOLVING A SOCIAL VISUALIZATION DESIGN AIMED AT INCREASING PARTICIPATION IN A CLASS-BASED ONLINE COMMUNITY","year":2008,"lang":"en","type":"article","venue":"International Journal of Cooperative Information Systems","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada); University of Saskatchewan","funders":"","keywords":"Visualization; Computer science; Cluster analysis; Personalization; Class (philosophy); Human–computer interaction; Information visualization; Online community; Visual analytics; World Wide Web; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001690002,0.0001356325,0.0002472257,0.0006908654,0.0003017981,0.0003667444,0.0006864124,0.00006291105,0.00001719358],"category_scores_gemma":[0.0009509509,0.0001253418,0.00006339989,0.0005569591,0.0000560005,0.004476134,0.0001112622,0.0002244417,0.00002018625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781022,"about_ca_system_score_gemma":0.000383779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008981022,"about_ca_topic_score_gemma":0.0000276281,"domain_scores_codex":[0.9965444,0.001103571,0.00124991,0.00007240598,0.000886515,0.0001432142],"domain_scores_gemma":[0.9956304,0.0003452135,0.001045184,0.0001293893,0.002777631,0.0000721558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001020965,0.002272078,0.04004446,0.0001389618,0.0004875828,0.0001513633,0.08109375,0.7916315,0.00330895,0.06208217,0.01197631,0.005791946],"study_design_scores_gemma":[0.001734782,0.0001291104,0.01610366,0.0001589428,0.000006665755,0.000159895,0.0005984001,0.9772024,0.0007353802,0.00002157981,0.002993931,0.0001553107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1754696,0.00002204748,0.8232962,0.0002629824,0.0004726432,0.0001546417,0.00002084712,0.00003063608,0.0002703776],"genre_scores_gemma":[0.9965753,0.00001494991,0.002455496,0.00064092,0.000113092,0.000006927153,0.0001627588,0.000006015604,0.00002454546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8211057,"threshold_uncertainty_score":0.5111291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07463535164154282,"score_gpt":0.369346390320168,"score_spread":0.2947110386786251,"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."}}