{"id":"W2793347766","doi":"10.1145/3170358.3170422","title":"Towards a writing analytics framework for adult english language learners","year":2018,"lang":"en","type":"article","venue":"","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Government of Canada; AGE-WELL","keywords":"Ell; Learning analytics; Analytics; Computer science; Second language writing; Literacy; Data science; Mathematics education; Psychology; Pedagogy; Teaching method; Linguistics; Second language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001886379,0.000140399,0.0001946044,0.0001211887,0.0001897666,0.00004748608,0.000188684,0.0001999489,0.001766466],"category_scores_gemma":[0.00584752,0.0001239782,0.00008875045,0.0003468572,0.0001278027,0.00003864004,0.00003180344,0.0005381059,0.0001408351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002979048,"about_ca_system_score_gemma":0.00002506576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001592829,"about_ca_topic_score_gemma":0.000008278473,"domain_scores_codex":[0.9985458,0.0003767617,0.0002416437,0.0003182961,0.0001176583,0.0003998942],"domain_scores_gemma":[0.9984171,0.0005700857,0.000101249,0.0003307559,0.0005271087,0.00005375009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001077073,0.00007631968,0.004314226,0.00002047682,0.0001469601,0.000005649978,0.1196497,0.000002830175,0.0002140073,0.6944214,0.012343,0.1686977],"study_design_scores_gemma":[0.005070177,0.003526125,0.03350784,0.0004200122,0.0002868465,0.0000338818,0.6301669,0.004401698,0.005305652,0.04225475,0.2725444,0.002481691],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.198946,0.00002219416,0.5782051,0.0003923134,0.0009867478,0.0001151479,0.000004646315,0.0002994213,0.2210284],"genre_scores_gemma":[0.6686313,3.426624e-7,0.3186786,0.002099852,0.002045523,0.00001868725,0.000008138065,0.00003222742,0.008485333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6521667,"threshold_uncertainty_score":0.999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05168757631594206,"score_gpt":0.4292654426201837,"score_spread":0.3775778663042417,"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."}}