{"id":"W2526870250","doi":"10.19173/irrodl.v17i5.2541","title":"Development of Open Textbooks Learning Analytics System","year":2016,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learning analytics; Computer science; Analytics; Class (philosophy); Open learning; Open education; Data science; World Wide Web; Open educational resources; Learning Management; Educational technology; Teaching method; Mathematics education; Psychology; Artificial intelligence; Cooperative learning","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":[0.008813777,0.00009679379,0.0003222256,0.0001598722,0.0002087781,0.0002673885,0.003832422,0.00003183867,0.00002809593],"category_scores_gemma":[0.001858979,0.00005561933,0.00004069588,0.0005610859,0.0001250372,0.0003408376,0.00371169,0.0004419194,0.00001574386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326729,"about_ca_system_score_gemma":0.0004440453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059106,"about_ca_topic_score_gemma":0.00001086137,"domain_scores_codex":[0.9975588,0.0005786095,0.0005946052,0.000278348,0.0007523301,0.0002373277],"domain_scores_gemma":[0.9979452,0.0008784594,0.0003137514,0.0002902307,0.000501578,0.00007073249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008743355,0.0002126677,0.05259646,0.00331054,0.0002231348,0.0000355688,0.0007039875,0.0006547465,0.001097665,0.334176,0.001072133,0.6058297],"study_design_scores_gemma":[0.004666397,0.0005638937,0.02434243,0.1683166,0.00004975866,0.0001031676,0.008473806,0.1363971,0.002724061,0.006185296,0.6472623,0.0009151567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2026004,0.03433014,0.4377792,0.1780456,0.0007515474,0.006319521,0.0001171129,0.0002864835,0.13977],"genre_scores_gemma":[0.9887905,0.003346432,0.006327507,0.00003625221,0.0000222744,0.00002215624,0.00001773074,0.000007452549,0.001429668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7861901,"threshold_uncertainty_score":0.7121657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163144909108454,"score_gpt":0.4483516279006063,"score_spread":0.3320371369897609,"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."}}