{"id":"W3042944617","doi":"10.1007/s11251-020-09520-7","title":"Assistance that fades in improves learning better than assistance that fades out","year":2020,"lang":"en","type":"article","venue":"Instructional Science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fade; Copying; Context (archaeology); Similarity (geometry); Computer science; Session (web analytics); Artificial intelligence; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0007031139,0.0002485015,0.0002543309,0.000193733,0.0006340038,0.0007284741,0.001487855,0.00007515278,0.00001902172],"category_scores_gemma":[0.0002212027,0.0002250732,0.00009272598,0.0009929613,0.0004195778,0.002328001,0.0003522463,0.0005927461,0.00007230042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377285,"about_ca_system_score_gemma":0.0002099668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007637531,"about_ca_topic_score_gemma":0.00003597252,"domain_scores_codex":[0.9967186,0.0001004319,0.0003210782,0.001006174,0.001218613,0.0006350924],"domain_scores_gemma":[0.9990048,0.0001115274,0.0002585472,0.0002892998,0.0001356478,0.0002001129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003463696,0.00005061542,0.5557858,0.00007474997,0.00002420868,0.00007102475,0.006346751,0.003962936,0.1090982,0.2482824,0.0001192058,0.07614946],"study_design_scores_gemma":[0.000402339,0.0001516992,0.8676108,0.0002673127,0.000004241131,0.00005915076,0.001333272,0.02377681,0.03063862,0.002184783,0.07275486,0.0008161925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250039,0.0001959939,0.1644706,0.003973932,0.001927042,0.0002008317,0.000002826036,0.000292047,0.00393285],"genre_scores_gemma":[0.9787779,0.000009525039,0.01930166,0.0004356409,0.0003184385,0.00001685836,8.211899e-7,0.00001226288,0.001126864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3118249,"threshold_uncertainty_score":0.9178219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249505454278869,"score_gpt":0.2579176998709825,"score_spread":0.2154226453281938,"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."}}