{"id":"W4400810756","doi":"10.1109/csci62032.2023.00270","title":"Using Assignment Incentives to Reduce Student Procrastination and Encourage Code Review Interactions","year":2023,"lang":"en","type":"article","venue":"","topic":"Perfectionism, Procrastination, Anxiety Studies","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Procrastination; Incentive; Computer science; Code (set theory); Computer security; Internet privacy; Psychology; Programming language; Microeconomics; Social psychology; Economics","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":[0.0004500723,0.0001493891,0.0001866234,0.0001746085,0.0003657303,0.00004749238,0.00009289536,0.00002872563,0.0003451166],"category_scores_gemma":[0.0001879553,0.0001408574,0.00003772004,0.000609952,0.00004393103,0.0001777619,0.000141149,0.0001125661,0.0002715484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847406,"about_ca_system_score_gemma":0.00002298095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004602789,"about_ca_topic_score_gemma":0.0000809336,"domain_scores_codex":[0.9986914,0.000123841,0.000299579,0.0004037756,0.0002376747,0.0002436771],"domain_scores_gemma":[0.999379,0.00009897083,0.0001046847,0.000162693,0.0001796521,0.00007496742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001592606,0.002195352,0.1135332,0.002113493,0.001342266,0.0000573937,0.0523897,0.0005233202,0.05005202,0.01119935,0.5844961,0.1819385],"study_design_scores_gemma":[0.0009304409,0.0002933415,0.8860821,0.001982375,0.0002400894,0.0001207562,0.01571165,0.0008079919,0.001234489,0.0004018183,0.0915202,0.0006747565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850391,0.006335746,0.04885315,0.02597858,0.004216641,0.004941551,0.00004671272,0.001388266,0.05784837],"genre_scores_gemma":[0.9735137,0.002337734,0.001324558,0.0008562167,0.0001714731,0.0005457479,0.00001573332,0.00002936837,0.02120545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7725489,"threshold_uncertainty_score":0.5743999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111800570094622,"score_gpt":0.4661321660707478,"score_spread":0.3543315959761258,"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."}}