{"id":"W4408200424","doi":"10.3390/app15052850","title":"Development and Implementation of a Machine Learning Model to Identify Emotions in Children with Severe Motor and Communication Impairments","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Computer science; Developmental psychology; Cognitive psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000825759,0.0005152107,0.0003515924,0.0003424784,0.0002446654,0.0006479316,0.0006835027,0.0005513222,0.0009810915],"category_scores_gemma":[0.002332328,0.0002346872,0.0006397027,0.0001987515,0.0001773148,0.0004355253,0.0005165863,0.0009276041,0.0003361675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005529241,"about_ca_system_score_gemma":0.0007210929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008314481,"about_ca_topic_score_gemma":0.007523096,"domain_scores_codex":[0.9998249,0.00004532986,0.00001402297,0.000058255,0.00003212968,0.0000251986],"domain_scores_gemma":[0.9994289,0.0003232028,0.00003513028,0.00003106123,0.000157504,0.00002410287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003211928,0.0004177582,0.03029722,0.0001393134,0.0002248075,0.0002919243,0.0003733097,0.6785677,0.0114911,0.002316955,0.002267165,0.2732915],"study_design_scores_gemma":[0.000005453532,0.00005419724,0.002220992,0.00001117966,0.00001372917,0.0000274497,0.00002783213,0.995549,0.001049999,0.0006017828,0.0004320062,0.000006357391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.286007,0.0004670762,0.7070029,0.0006653763,0.0001203204,0.0002829848,0.0004950116,0.00115961,0.003799869],"genre_scores_gemma":[0.8654813,0.000261592,0.1310381,0.0001438325,0.00002980495,0.0004113855,0.0006183065,0.00004898206,0.001966724],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008314481,"threshold_uncertainty_score":0.01653218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547080477959657,"score_gpt":0.3255368226407336,"score_spread":0.300066017861137,"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."}}