{"id":"W2143959207","doi":"10.1177/0002764213498851","title":"Learning Analytics","year":2013,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Learning analytics; Analytics; Personalization; Data science; Big data; Scope (computer science); Computer science; Field (mathematics); Adaptation (eye); Cultural analytics; Knowledge management; Data analysis; Engineering ethics; Semantic analytics; World Wide Web; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001663629,0.0001319875,0.0001776184,0.0001465817,0.0002708591,0.0005840916,0.0008217104,0.00002200247,0.0001022933],"category_scores_gemma":[0.00002903881,0.0001197796,0.00008622122,0.001399903,0.000321472,0.0004657244,0.000253833,0.0002563958,0.0009768811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004556675,"about_ca_system_score_gemma":0.00004742043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605937,"about_ca_topic_score_gemma":0.00002573377,"domain_scores_codex":[0.9985287,0.00006236542,0.0001897695,0.0004086559,0.000379493,0.0004310486],"domain_scores_gemma":[0.9990655,0.00002583665,0.0001486879,0.0004202718,0.0001255468,0.000214146],"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":[6.453557e-7,0.0002677196,0.1770648,0.000003260789,0.000010214,0.00003834575,0.0004178927,0.0008619511,0.001999339,0.005333603,0.006311588,0.8076907],"study_design_scores_gemma":[0.0006042192,0.001813352,0.4237126,0.00004148687,0.00008078041,0.00008837884,0.001486993,0.4947133,0.0005559168,0.002100054,0.073221,0.001581856],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574903,0.00001317244,0.03658239,0.003201553,0.000297382,0.00009408571,0.000001087154,0.0004038736,0.001916197],"genre_scores_gemma":[0.9621162,0.000003994961,0.03157454,0.0001830685,0.0000522283,0.000006122715,0.000004953632,0.000009655194,0.006049236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8061088,"threshold_uncertainty_score":0.999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392242987391283,"score_gpt":0.296129721985789,"score_spread":0.2822072921118762,"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."}}