{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007259073,0.0001017315,0.0001295225,0.0001385941,0.00006910251,0.0001450958,0.0002412174,0.00004235769,0.000004585509],"category_scores_gemma":[0.0002282688,0.00009302735,0.00003590679,0.0001538655,0.00000705866,0.001390261,0.00007516841,0.0001612175,0.000026424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569047,"about_ca_system_score_gemma":0.00008417597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008126996,"about_ca_topic_score_gemma":0.00002560582,"domain_scores_codex":[0.9989669,0.0001125498,0.0002174003,0.0003143503,0.0001611174,0.0002277286],"domain_scores_gemma":[0.9992216,0.0002094258,0.0001055677,0.0001328875,0.0002463462,0.00008420085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001180894,0.00006696271,0.007029845,0.000009331388,0.00001160945,0.00001037639,0.0178585,0.7393113,0.0003585091,0.2069808,0.00004072074,0.02820395],"study_design_scores_gemma":[0.000488214,0.0007014924,0.000319449,0.00002823405,0.000001308571,0.000002061236,0.002426481,0.9822208,0.0008602772,0.000761558,0.01204018,0.000149891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02582346,0.000005146672,0.9698582,0.00004226869,0.0002995679,0.0003517291,1.817708e-7,0.0001480111,0.003471449],"genre_scores_gemma":[0.9678264,1.013479e-7,0.02721728,0.00003986941,0.0001067388,0.00003645863,0.00000247559,0.000009777259,0.004760875],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9426409,"threshold_uncertainty_score":0.3793545,"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."}}