{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007953608,0.0002584629,0.0002041272,0.001572306,0.0006306361,0.002118259,0.0004600177,0.0003897276,0.001935405],"category_scores_gemma":[0.05865211,0.0001820299,0.0002734707,0.0009835487,0.001211033,0.002874094,0.002173947,0.0009093506,0.0002533099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630573,"about_ca_system_score_gemma":0.001034132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006488724,"about_ca_topic_score_gemma":0.00116448,"domain_scores_codex":[0.9914652,0.004776571,0.000638883,0.0004507043,0.002075965,0.0005928209],"domain_scores_gemma":[0.912058,0.06371318,0.01042363,0.003519972,0.006128846,0.004156341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007130041,0.0003906931,0.6434838,0.0006035952,0.00009810598,0.0004170751,0.07449583,0.001231416,0.007264331,0.00391822,0.00164544,0.2657386],"study_design_scores_gemma":[0.00003071255,0.001345664,0.8661508,0.000731716,0.0001105054,0.0006612571,0.09529016,0.003845885,0.005464172,0.005765588,0.02039958,0.0002040283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903758,0.0001696756,0.003720694,0.0005423776,0.00001915476,0.00003837788,0.00006638816,0.00003003264,0.005037518],"genre_scores_gemma":[0.9976467,0.00006802178,0.001837769,0.00004308949,0.000007774552,0.00003845129,0.00002390245,0.000005985942,0.0003282185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007953608,"threshold_uncertainty_score":0.04206324,"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."}}