{"id":"W4398160865","doi":"10.1609/aaaiss.v3i1.31253","title":"Social Smarts with Tech Sparks: Harnessing LLMs for Youth Socioemotional Growth","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Symposium Series","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Socioemotional selectivity theory; Transformative learning; Disconnection; Social emotional learning; Social competence; Psychology; Competence (human resources); Social change; Social learning; Social skills; Public relations; Social psychology; Political science; Developmental psychology; Economic growth; Pedagogy; Economics","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":[0.0001563535,0.0001244614,0.0001288663,0.0001080133,0.0002114007,0.0002308089,0.0006250588,0.00007841679,0.000001722755],"category_scores_gemma":[0.00002915587,0.00008727246,0.0000708834,0.0004144597,0.00014888,0.0006288898,0.0001504673,0.0001300777,0.000002098618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004238701,"about_ca_system_score_gemma":0.00008652465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003427308,"about_ca_topic_score_gemma":5.01129e-7,"domain_scores_codex":[0.9992334,0.000002089092,0.0001440162,0.0002489897,0.0001761661,0.0001953729],"domain_scores_gemma":[0.9995787,0.00002411677,0.00007133979,0.00008222433,0.0002205247,0.00002310328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001180511,0.00003660169,0.0006872909,0.0004496253,0.00005007079,1.932479e-7,0.006842801,0.000005854627,0.01691145,0.9713864,0.003171099,0.0004468608],"study_design_scores_gemma":[0.001346076,0.000894596,0.007288672,0.001613021,0.0003194395,0.0003745838,0.00536207,0.01250754,0.7028139,0.236415,0.0293012,0.001763859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6583076,0.0005817109,0.07605762,0.2418361,0.004281107,0.001475036,0.00004333123,0.003802803,0.01361475],"genre_scores_gemma":[0.9855752,0.000007047528,0.01329925,0.00006842479,0.0001634542,0.00005101086,0.000001534662,0.00001875988,0.000815319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7349713,"threshold_uncertainty_score":0.3558868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102347335202261,"score_gpt":0.2184927115671002,"score_spread":0.208257978046874,"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."}}