{"id":"W2014744489","doi":"10.1145/2702123.2702424","title":"Providing Adaptive Support in an Interactive Simulation for Learning","year":2015,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Interactive simulation; Process (computing); Adaptive learning; Human–computer interaction; Exploratory research; Interactive Learning; Intervention (counseling); Open source; Multimedia; Simulation; Artificial intelligence; Software","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":[0.00240636,0.0005961024,0.0003212877,0.0004513221,0.0004313999,0.001377228,0.001466132,0.001091586,0.004724193],"category_scores_gemma":[0.01345165,0.0003216082,0.0003209763,0.000317725,0.0009377599,0.001216649,0.00188089,0.0006720239,0.0005991702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975897,"about_ca_system_score_gemma":0.000810383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006266214,"about_ca_topic_score_gemma":0.0006204031,"domain_scores_codex":[0.9974868,0.00161241,0.0001484896,0.0001948463,0.0004417041,0.0001156765],"domain_scores_gemma":[0.9865535,0.01080204,0.0004000522,0.001121432,0.0005843207,0.0005386291],"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":[0.006970959,0.00807141,0.02603167,0.002033305,0.0001968145,0.002155188,0.01578652,0.1250763,0.3077361,0.03746054,0.004347596,0.4641336],"study_design_scores_gemma":[0.002995531,0.01480848,0.0288236,0.0008901458,0.0005266872,0.003077446,0.003851521,0.5397863,0.260204,0.03103642,0.1134895,0.0005104687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7476737,0.0001489622,0.2367541,0.000498962,0.00005242706,0.001114864,0.0001657942,0.003916592,0.00967467],"genre_scores_gemma":[0.8766453,0.00009869018,0.1205351,0.000073315,0.0000129481,0.0004941917,0.0001225079,0.00007750441,0.001940541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004724193,"threshold_uncertainty_score":0.01580405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112293437035359,"score_gpt":0.3483232975116504,"score_spread":0.2360298604762914,"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."}}