{"id":"W1994727476","doi":"10.1504/ijwbc.2007.014077","title":"A Bayesian belief network model of a virtual learning community","year":2007,"lang":"en","type":"article","venue":"International Journal of Web Based Communities","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Research Manitoba","keywords":"Thurstone scale; Bayesian network; Computer science; Virtual community; Bayesian probability; Variable (mathematics); Machine learning; Causality (physics); Causal model; Grounded theory; Artificial intelligence; Data science; Mathematics; Statistics; The Internet; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005472028,0.0008581815,0.001072555,0.003694654,0.001691215,0.004486806,0.003802265,0.003490703,0.00666204],"category_scores_gemma":[0.02091322,0.0008740891,0.001082407,0.003188489,0.002888092,0.009005888,0.002282033,0.002367129,0.001224941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135673,"about_ca_system_score_gemma":0.002076314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01437576,"about_ca_topic_score_gemma":0.01073648,"domain_scores_codex":[0.9967737,0.001539674,0.0001272354,0.0006484505,0.0006885218,0.0002224525],"domain_scores_gemma":[0.9915877,0.005897787,0.0008202049,0.000380212,0.0008790959,0.0004350051],"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":[0.00009337226,0.00007836039,0.002185432,0.000133496,0.00008025875,0.000227293,0.001293902,0.2782477,0.0005118103,0.6862605,0.00210176,0.02878607],"study_design_scores_gemma":[0.00003951826,0.0000395526,0.0005087031,0.00006445886,0.00003460021,0.0001225229,0.0002073143,0.5995172,0.0001068394,0.3950496,0.004263269,0.0000463255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02178917,0.0003639305,0.9636875,0.001859736,0.00005391684,0.0001488117,0.0003468275,0.000154461,0.01159565],"genre_scores_gemma":[0.6305712,0.001296062,0.3516347,0.000416513,0.0002070785,0.0009658554,0.0005564446,0.00006525374,0.01428678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01437576,"threshold_uncertainty_score":0.02893925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538235239111366,"score_gpt":0.3325149748161363,"score_spread":0.2971326224250227,"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."}}