{"id":"W4392596643","doi":"10.1007/s10639-024-12546-w","title":"A multidimensional taxonomy for learner-AI interaction","year":2024,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Taxonomy (biology); Computer science; Educational technology; Data science; Artificial intelligence; Mathematics education; Psychology; Biology","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":[0.0001345063,0.00006302567,0.00005145929,0.0002750166,0.0001103201,0.0003292825,0.0001032733,0.00005431476,0.000004405072],"category_scores_gemma":[0.0001093747,0.00005314829,0.00002494148,0.0001510604,0.00001651844,0.003366539,0.00005037064,0.0001111368,0.00007979456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004358188,"about_ca_system_score_gemma":0.00009054424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008952856,"about_ca_topic_score_gemma":2.061332e-7,"domain_scores_codex":[0.9995853,0.000006471271,0.0001616661,0.00009976824,0.00006420137,0.0000825333],"domain_scores_gemma":[0.9996762,0.00005330204,0.00004849333,0.0001042931,0.0001054618,0.00001220373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[6.608852e-7,0.000004818777,0.00001505454,0.00003050505,0.000003289881,2.031277e-8,0.000334403,0.00002253851,0.00003779486,0.5829092,0.003888911,0.4127529],"study_design_scores_gemma":[0.00003107798,0.00003264953,0.00005884072,0.00007301157,0.00000126917,0.000009834512,0.002527612,0.03398493,0.002017541,0.001315577,0.9598793,0.00006836742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002233048,0.0004586889,0.9862015,0.005880345,0.001832975,0.000306118,0.000001119699,0.001171722,0.001914543],"genre_scores_gemma":[0.936958,0.00008730774,0.05818024,0.0004569181,0.00008703433,0.0004782558,0.00001973744,0.000004624741,0.003727923],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9559904,"threshold_uncertainty_score":0.3175279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164273396698664,"score_gpt":0.2803080997383475,"score_spread":0.2586653657713608,"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."}}