{"id":"W4382654432","doi":"10.1145/3587102.3588847","title":"The Value of Time Extensions in Identifying Students Abilities","year":2023,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coursework; Computer science; Scheduling (production processes); Mathematics education; Phenomenon; Value (mathematics); Time management; Psychology; Mathematics; Machine learning; Operating system; Mathematical optimization","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":[],"consensus_categories":[],"category_scores_codex":[0.0005961275,0.00003682225,0.0000674437,0.00007094997,0.00007966045,0.00007637967,0.0005823812,0.00001388188,0.000004366644],"category_scores_gemma":[0.0001489579,0.00002377037,0.00003137541,0.0004835192,0.00003067753,0.00007911435,0.000326277,0.00006780226,0.000168041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007446852,"about_ca_system_score_gemma":0.00002125669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005589188,"about_ca_topic_score_gemma":0.00001570764,"domain_scores_codex":[0.9993328,0.00005181781,0.0001449915,0.0001080306,0.0002336344,0.0001287041],"domain_scores_gemma":[0.9993382,0.00031398,0.00002787358,0.0002696833,0.00003268555,0.00001756754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000754955,0.0004238251,0.3004655,0.00009399426,0.0001085624,0.00008441423,0.01269464,0.04372787,0.00503985,0.5754636,0.01420564,0.04768457],"study_design_scores_gemma":[0.0001562199,0.00003060138,0.1935163,0.00005162923,0.000003093496,0.000001529985,0.000829655,0.7711846,0.0001943103,0.03328719,0.0006570858,0.00008789701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907228,0.00003568556,0.0034898,0.004317678,0.0001446796,0.00004995682,3.766714e-7,0.0001521954,0.001086848],"genre_scores_gemma":[0.981549,0.00003724429,0.001699247,0.0000450624,0.00001407363,0.000001462899,4.572453e-7,0.000003002635,0.01665043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7274567,"threshold_uncertainty_score":0.2159884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846110016201104,"score_gpt":0.3288747548738979,"score_spread":0.3104136547118869,"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."}}