{"id":"W4224269687","doi":"10.5539/jel.v11n3p105","title":"System Architecture of Big Data in Massive Open Online Courses (BD-MOOCs System Architecture)","year":2022,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Big data; Architecture; Computer science; SPARK (programming language); Python (programming language); Grading (engineering); Dropout (neural networks); Data architecture; World Wide Web; Reference architecture; Operating system; Engineering; Software architecture; Software","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":[0.002856943,0.0006386196,0.0006196231,0.001146756,0.001089131,0.003934084,0.001719579,0.001010616,0.01022991],"category_scores_gemma":[0.00397183,0.0006851749,0.0006559904,0.0007046876,0.0006840292,0.002035348,0.003025462,0.001754488,0.00560105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001301,"about_ca_system_score_gemma":0.004402735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008998125,"about_ca_topic_score_gemma":0.004325401,"domain_scores_codex":[0.9982253,0.0003243664,0.0001824692,0.0004953751,0.0004813634,0.0002911945],"domain_scores_gemma":[0.9967642,0.0003998374,0.0001316553,0.0005945928,0.001348736,0.0007609759],"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":[0.003089238,0.002334131,0.06758706,0.001859348,0.0006614685,0.001413133,0.004801257,0.07766035,0.08568679,0.04440695,0.1502268,0.5602735],"study_design_scores_gemma":[0.0006093586,0.001579896,0.02745095,0.0003898441,0.0002869696,0.0006751209,0.0009836721,0.5559193,0.07788201,0.01822222,0.3155965,0.000404152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327685,0.0005894236,0.6413935,0.002170937,0.0009052752,0.005607628,0.004049309,0.182413,0.03010244],"genre_scores_gemma":[0.6807333,0.0003530309,0.275072,0.001052378,0.0002035368,0.00279428,0.01049423,0.002604891,0.02669241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022991,"threshold_uncertainty_score":0.03422248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397375260790045,"score_gpt":0.3240887546634234,"score_spread":0.2901150020555229,"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."}}