{"id":"W2884095424","doi":"10.1007/s11145-018-9888-8","title":"Using latent transition analysis to identify effects of an intelligent tutoring system on reading comprehension of seventh-grade students","year":2018,"lang":"en","type":"article","venue":"Reading and Writing","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reading (process); Class (philosophy); Intelligent tutoring system; Psychology; Mathematics education; Intervention (counseling); Comprehension; Reading comprehension; Latent class model; Literacy; Computer science; Developmental psychology; Multimedia; Artificial intelligence; Pedagogy; Linguistics","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":[0.0009727427,0.0001888148,0.0004729313,0.0005802928,0.0002701629,0.0001435478,0.0003167994,0.00006860416,5.49053e-7],"category_scores_gemma":[0.00003578716,0.0001859047,0.0001289218,0.0007433649,0.00002923785,0.0002643062,0.0001310462,0.0001308414,0.00000269589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372428,"about_ca_system_score_gemma":0.00001143344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167317,"about_ca_topic_score_gemma":0.000002384856,"domain_scores_codex":[0.9978835,0.0002301094,0.0005927072,0.000475635,0.0005154822,0.0003025572],"domain_scores_gemma":[0.9988483,0.0002009348,0.0003033966,0.0003232389,0.0001932597,0.0001308831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006714944,0.0003140759,0.03196299,0.002010322,0.001044445,0.000088484,0.02929481,0.04550856,0.81369,0.05040824,0.000001869485,0.02560906],"study_design_scores_gemma":[0.0004792127,0.001068346,0.03446481,0.01188261,0.0004544522,0.00005015345,0.002955921,0.4373244,0.510658,0.00004913405,0.00004434403,0.0005686391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6809469,0.00003474276,0.3185052,0.000005064688,0.0002525829,0.0001550047,9.490369e-7,0.0000594712,0.0000400327],"genre_scores_gemma":[0.9918079,0.000004981174,0.007948224,0.00001247646,0.0001787554,0.000003750381,0.000001931163,0.00001558331,0.00002642542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3918158,"threshold_uncertainty_score":0.7580975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04372438050675401,"score_gpt":0.3478426144603124,"score_spread":0.3041182339535584,"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."}}