{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446215,0.0002205225,0.0004196765,0.002750311,0.002079744,0.001264287,0.0007641121,0.0007462198,0.001040834],"category_scores_gemma":[0.007447048,0.0002972398,0.0005565892,0.001998461,0.0005494753,0.001721176,0.0009361808,0.0008626727,0.0002166273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008346237,"about_ca_system_score_gemma":0.001129375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005113647,"about_ca_topic_score_gemma":0.006319941,"domain_scores_codex":[0.9980915,0.0008085747,0.0001880782,0.0002957097,0.0004134497,0.0002026022],"domain_scores_gemma":[0.9946496,0.002641306,0.0009891784,0.0002612557,0.00081484,0.0006439629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001191293,0.001773831,0.9267086,0.0001527555,0.00008172326,0.000618176,0.04267814,0.0003581277,0.0005435059,0.0006063246,0.0005896109,0.02577011],"study_design_scores_gemma":[0.00004210947,0.001383542,0.8010814,0.0002019588,0.0001499002,0.001475946,0.1758044,0.01296355,0.001694507,0.001041654,0.004069823,0.00009115905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988667,0.00003269376,0.0005077192,0.00007318834,0.000003268807,0.0000792697,0.00006469496,0.000003004825,0.0003695618],"genre_scores_gemma":[0.997768,0.00007768712,0.001337121,0.00004569604,0.000006375171,0.0001614186,0.0001572602,0.000002429465,0.0004438672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005113647,"threshold_uncertainty_score":0.01293701,"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."}}