{"id":"W4399268060","doi":"10.1007/978-3-031-60609-0_3","title":"Verification and Validation of Adaptive Instructional Systems: A Text Mining Review","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Data mining; Artificial intelligence; Software engineering","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":[0.04343792,0.00174228,0.003335965,0.01219063,0.0009105053,0.006397195,0.007207676,0.00283383,0.002415447],"category_scores_gemma":[0.1693008,0.0009727942,0.002094464,0.006611439,0.004413033,0.01215809,0.002627183,0.002398282,0.002118988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739658,"about_ca_system_score_gemma":0.006478864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902389,"about_ca_topic_score_gemma":0.002226838,"domain_scores_codex":[0.9729975,0.006916661,0.00484952,0.004165353,0.01069573,0.0003751141],"domain_scores_gemma":[0.6073537,0.3318939,0.01318564,0.01482211,0.0318415,0.000903105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001667879,0.0002712947,0.006202257,0.008223252,0.0003456605,0.0001061866,0.0003306684,0.002171285,0.001966192,0.004726404,0.007248709,0.9682414],"study_design_scores_gemma":[0.0005383126,0.002062873,0.06896038,0.0621306,0.004624861,0.004314587,0.003586344,0.1021508,0.1031076,0.1236779,0.5238973,0.0009485408],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01849266,0.7986539,0.1598584,0.008650116,0.001312885,0.000841819,0.002169446,0.002134989,0.007885772],"genre_scores_gemma":[0.1840101,0.5132598,0.2819238,0.004738351,0.003034098,0.001082913,0.007272795,0.000865361,0.003812759],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04343792,"threshold_uncertainty_score":0.2297244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832556366077233,"score_gpt":0.2557631202006797,"score_spread":0.2274375565399074,"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."}}