{"id":"W2009798814","doi":"10.5539/cis.v7n4p1","title":"Members’ Behavior in Virtual Learning Community: A Study Using Data Mining Approach","year":2014,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Association rule learning; Data pre-processing; Virtual community; Meaning (existential); Learning community; Preprocessor; Data science; Artificial intelligence; Knowledge management; World Wide Web; The Internet; Mathematics education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003406304,0.0001033117,0.0001441448,0.0004452553,0.000621749,0.0008870473,0.001728866,0.00002621194,6.348489e-7],"category_scores_gemma":[0.0001491059,0.00009531012,0.00001141316,0.001094058,0.0001437679,0.008841881,0.00199809,0.0003611854,0.000004131736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002698195,"about_ca_system_score_gemma":0.00008205336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007760643,"about_ca_topic_score_gemma":0.000003741953,"domain_scores_codex":[0.9986214,0.000201212,0.0003120426,0.000222329,0.0004096178,0.0002333723],"domain_scores_gemma":[0.9988866,0.0001057758,0.0001293106,0.0006908776,0.00009936118,0.00008809788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004937813,0.0004500857,0.1220979,0.00003358442,0.000007861878,0.00000221662,0.07258563,0.1013996,0.00005490991,0.00692539,0.0000423244,0.6963956],"study_design_scores_gemma":[0.0002929668,0.0001891421,0.02930975,0.00001354231,0.000003698361,0.0000169404,0.002162826,0.9674458,0.000002113875,0.00001046155,0.0004336074,0.0001191628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5314183,0.000001754687,0.4679052,0.00003139648,0.00008547866,0.00007131854,3.336245e-7,0.00004814653,0.0004380662],"genre_scores_gemma":[0.9165281,0.000001359332,0.083255,0.000169382,0.00002907223,0.000001747698,0.000007509452,0.000002111221,0.000005679125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8660462,"threshold_uncertainty_score":0.8553817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07078182328780364,"score_gpt":0.3279717179045371,"score_spread":0.2571898946167334,"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."}}