{"id":"W7106549071","doi":"10.63803/prisma.v1n4.33","title":"Artificial Intelligence to Strengthen Pedagogical Support for Students with Learning Disorders","year":2025,"lang":"","type":"article","venue":"Prisma Journal","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles","funders":"","keywords":"Transformative learning; Cognition; Applications of artificial intelligence; Natural (archaeology); Learning disability; Inclusion (mineral); Educational technology","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":[0.005415587,0.0002902405,0.0005473517,0.002102985,0.0006983595,0.003087958,0.001113569,0.001065616,0.003694048],"category_scores_gemma":[0.02836081,0.0001634907,0.0008375627,0.001586031,0.001066553,0.002388959,0.004422953,0.001811306,0.0005374231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409527,"about_ca_system_score_gemma":0.006408268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000898568,"about_ca_topic_score_gemma":0.003559349,"domain_scores_codex":[0.9947693,0.003379198,0.0005730159,0.0002952712,0.0008389388,0.0001442197],"domain_scores_gemma":[0.9867796,0.01034559,0.001094264,0.0004355839,0.0006892139,0.0006558675],"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":[0.00007866135,0.0003527252,0.006982648,0.01167769,0.0002801762,0.0002428467,0.003109317,0.000870132,0.000625685,0.01629673,0.009402845,0.9500805],"study_design_scores_gemma":[0.0003750196,0.001140323,0.03760754,0.07483025,0.00177598,0.002576048,0.01167294,0.003419952,0.00440678,0.1486663,0.7133723,0.0001565626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1614418,0.4882367,0.06781717,0.1342444,0.00399468,0.00160188,0.00104659,0.001022855,0.1405939],"genre_scores_gemma":[0.6517063,0.2251755,0.1019801,0.01299966,0.0007655844,0.00132858,0.0007093819,0.00008515348,0.005249678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005415587,"threshold_uncertainty_score":0.02864069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08319117768430223,"score_gpt":0.3743895075357367,"score_spread":0.2911983298514345,"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."}}