{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002087121,0.001116301,0.0009209939,0.0006287136,0.0003068779,0.0009731344,0.0005319273,0.001723494,0.006587824],"category_scores_gemma":[0.02150666,0.000307827,0.0004503982,0.00029355,0.0004306236,0.001492925,0.00102422,0.001167634,0.00134008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883707,"about_ca_system_score_gemma":0.00114933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143659,"about_ca_topic_score_gemma":0.001464454,"domain_scores_codex":[0.998454,0.0003774959,0.0002466269,0.0003624059,0.0003719895,0.0001875586],"domain_scores_gemma":[0.9827171,0.009097755,0.00199431,0.002853172,0.001952511,0.001385068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01369239,0.01018131,0.05371952,0.001823192,0.0005866389,0.0006158686,0.0008080391,0.01225985,0.1748052,0.002425324,0.009765104,0.7193176],"study_design_scores_gemma":[0.0050343,0.06463979,0.341669,0.002187016,0.003553394,0.005707395,0.004440663,0.1330584,0.3257108,0.0319956,0.08144613,0.0005576061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569053,0.0009981808,0.02483064,0.001209415,0.0009930526,0.0002898902,0.0004011224,0.003367182,0.01100519],"genre_scores_gemma":[0.9792575,0.0004061824,0.01504478,0.0005287982,0.0001027995,0.0001021731,0.0002730694,0.0001640013,0.004120687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006587824,"threshold_uncertainty_score":0.02203852,"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."}}