{"id":"W2126132403","doi":"10.1109/wiiat.2008.264","title":"nAble Adaptive Scaffolding Agent – Intelligent Support for Novices","year":2008,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Sandbox (software development); Scaffold; Human–computer interaction; Task (project management); Multimedia; Artificial intelligence; Software engineering; Programming language","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":[0.0006756171,0.0004474446,0.0002716882,0.0003197649,0.0004488559,0.0009761016,0.001115985,0.0006422758,0.009401814],"category_scores_gemma":[0.005115942,0.0001517767,0.000204442,0.0001072413,0.0003003966,0.001291148,0.001690436,0.0005274797,0.003305065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576925,"about_ca_system_score_gemma":0.0008718969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283211,"about_ca_topic_score_gemma":0.002886074,"domain_scores_codex":[0.9996513,0.0001108509,0.00002485169,0.00005604263,0.0001193926,0.00003742758],"domain_scores_gemma":[0.9983044,0.0006110865,0.0001105518,0.0002606007,0.0003042039,0.000409133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009566993,0.001889637,0.009951334,0.0006204569,0.00003997681,0.001019379,0.004271076,0.009508266,0.0444764,0.01896073,0.03927407,0.869032],"study_design_scores_gemma":[0.0008158736,0.003001838,0.01445589,0.0005394298,0.0001571178,0.002318434,0.00287336,0.1976271,0.0464537,0.0476919,0.6837856,0.0002797975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4301105,0.0007495649,0.4525835,0.001538616,0.000226685,0.0006866112,0.0004694555,0.01828816,0.09534702],"genre_scores_gemma":[0.6115726,0.0004785166,0.3449228,0.0003959669,0.00003599895,0.0004906928,0.0008649476,0.0003249334,0.04091347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009401814,"threshold_uncertainty_score":0.03145224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08333339824264674,"score_gpt":0.2853509693189575,"score_spread":0.2020175710763107,"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."}}