{"id":"W1966170504","doi":"10.1002/bmb.20778","title":"Commentary: Learning analytics: Ephemeral rhetoric or valuable approach?","year":2014,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learning analytics; Analytics; Knowledge management; Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008893545,0.002135402,0.002198173,0.002068808,0.00726221,0.006731315,0.007300497,0.05410405,0.0116252],"category_scores_gemma":[0.07933851,0.001061757,0.001978781,0.001995575,0.01149465,0.01142726,0.00419635,0.07615106,0.01033443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00888639,"about_ca_system_score_gemma":0.0108151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584694,"about_ca_topic_score_gemma":0.01957006,"domain_scores_codex":[0.9914187,0.003171769,0.0007564483,0.001482088,0.002370606,0.0008004238],"domain_scores_gemma":[0.9317158,0.04941546,0.002415476,0.001166581,0.01181357,0.00347325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001559192,0.000004121502,0.00002521028,0.00009563356,0.000004882447,0.000127753,0.0002729337,0.0000139054,0.00003277678,0.0008322825,0.9970614,0.001513522],"study_design_scores_gemma":[0.00003690197,0.00002537486,0.0002115428,0.0008815704,0.00001573149,0.0005912668,0.001397676,0.0001193524,0.0001446628,0.004403594,0.9921188,0.000053355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006582823,0.001703425,0.0000843672,0.9363042,0.0611025,0.0000121985,0.00006248739,0.000028729,0.0006363643],"genre_scores_gemma":[0.0009602858,0.001213112,0.00008906675,0.9434144,0.05248929,0.00003654658,0.00002311896,0.00003087016,0.001743272],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05410405,"threshold_uncertainty_score":0.0644756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008689151820450299,"score_gpt":0.2853532355388819,"score_spread":0.2766640837184316,"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."}}