{"id":"W4406603676","doi":"10.48550/arxiv.2501.09870","title":"An LLM-Guided Tutoring System for Social Skills Training","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Institute for Advanced Research","keywords":"Training (meteorology); Psychology; Social skills; Medical education; Mathematics education; Computer science; Medicine; Developmental psychology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001240495,0.0004970083,0.000770582,0.0002612481,0.0006739867,0.0004775467,0.001980951,0.0004425838,0.0000032743],"category_scores_gemma":[0.0001288299,0.0005198093,0.0004180974,0.0002365316,0.00003364311,0.0003419515,0.0008432184,0.0007737553,0.00003612328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608158,"about_ca_system_score_gemma":0.0004560722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001667366,"about_ca_topic_score_gemma":0.000005224177,"domain_scores_codex":[0.9965705,0.0002321268,0.0007891917,0.001273915,0.0003941667,0.0007401309],"domain_scores_gemma":[0.9978088,0.0002135812,0.0005103258,0.0009547957,0.0003757105,0.0001367963],"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":[0.00002924488,0.0003742084,0.04475941,0.004713094,0.0008111552,0.0001205346,0.0600353,0.01743348,0.003897479,0.8281659,0.001105597,0.03855454],"study_design_scores_gemma":[0.005514934,0.001409281,0.1129942,0.02606011,0.0007539823,0.0001629425,0.01628667,0.2049711,0.0439628,0.004536336,0.5716736,0.01167397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2450951,0.0001283761,0.74003,0.0001811648,0.009151499,0.0008683387,0.00002748081,0.001051172,0.003466858],"genre_scores_gemma":[0.9739448,0.000003620172,0.01116554,0.00009715553,0.003021198,0.0002636352,0.00002421268,0.00004393895,0.01143584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8236296,"threshold_uncertainty_score":0.9997253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091613021424505,"score_gpt":0.3368001140985628,"score_spread":0.2276388119561123,"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."}}