{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176086,0.0001140046,0.000118066,0.00004117719,0.0001288533,0.0000509531,0.0002329689,0.0001013554,0.000004783466],"category_scores_gemma":[0.0001288665,0.00009868096,0.00003453255,0.0001657376,0.00005657627,0.00004247313,0.00009185591,0.0001613835,0.000003759431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002350468,"about_ca_system_score_gemma":0.0001034878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002045227,"about_ca_topic_score_gemma":1.664254e-7,"domain_scores_codex":[0.9992157,0.00009677256,0.0001259757,0.0003311227,0.00005738308,0.0001730803],"domain_scores_gemma":[0.9994992,0.00003180054,0.00007888478,0.0002539372,0.00005129117,0.00008486432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007985106,0.002657072,0.0532925,0.0006512504,0.0004952022,0.000007782493,0.001324467,0.001746028,0.5459234,0.1350614,0.04170558,0.2170555],"study_design_scores_gemma":[0.001948588,0.001367812,0.001105457,0.0001497565,0.000253282,0.0002207376,0.0008113472,0.3789287,0.2216496,0.03298556,0.3585704,0.002008793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4336773,0.000905007,0.5323624,0.02626983,0.0006074061,0.0001457459,0.000001617931,0.0002141743,0.005816536],"genre_scores_gemma":[0.9653805,0.00003150451,0.03132557,0.001810499,0.0002496441,0.000008266522,0.0001109911,0.000006399344,0.001076565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5317032,"threshold_uncertainty_score":0.4024093,"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."}}