{"id":"W4409793686","doi":"10.61091/jcmcc127a-242","title":"Research on the interface design of an interactive system for concentration training of autistic children based on reinforcement learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement; Interface (matter); Training (meteorology); Human–computer interaction; Autism; Reinforcement learning; Interactive Learning; Psychology; Computer science; Developmental psychology; Multimedia; Artificial intelligence; Social psychology; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004752106,0.000459797,0.0003188967,0.000302985,0.000307009,0.0004503179,0.0008265301,0.0004217503,0.002291166],"category_scores_gemma":[0.001372848,0.0001896453,0.0003615096,0.0001220318,0.0002906869,0.0007570076,0.0004391146,0.0003063228,0.0002810983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099851,"about_ca_system_score_gemma":0.000539582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906536,"about_ca_topic_score_gemma":0.001125478,"domain_scores_codex":[0.9996485,0.0001083057,0.00002534395,0.00008701327,0.0000935335,0.00003729368],"domain_scores_gemma":[0.9996046,0.0001729027,0.00003500519,0.0000239326,0.0001246004,0.00003880879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007814576,0.0012223,0.01882581,0.00153091,0.000234091,0.001226295,0.003294219,0.1054305,0.326346,0.01024474,0.002737677,0.528126],"study_design_scores_gemma":[0.0001552362,0.002023302,0.0163509,0.000100305,0.0002593414,0.001100359,0.0007291227,0.8983911,0.06427985,0.002796674,0.01372436,0.00008947997],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.161941,0.0004606429,0.8300052,0.0001911115,0.00005511284,0.000299484,0.00003344765,0.001570217,0.005443804],"genre_scores_gemma":[0.8066733,0.0003362724,0.1891954,0.00008038747,0.00001608513,0.0003998943,0.00006139597,0.00006803372,0.003169257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002291166,"threshold_uncertainty_score":0.00766474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06044159672866748,"score_gpt":0.3644125929518666,"score_spread":0.3039709962231991,"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."}}