{"id":"W4416716514","doi":"10.18280/mmep.121035","title":"Impact of Image Enhancement on Deep Learning-Based Recognition of Activity Prompts in Children with Autism Using Motion History Images","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Autism; Motion (physics); Image (mathematics); Visualization; Image enhancement; Image processing","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":[0.0004033339,0.0004051184,0.0002007519,0.0003137893,0.00006300848,0.00035596,0.0002081088,0.0003763393,0.001498396],"category_scores_gemma":[0.004340156,0.0001111767,0.0002439624,0.0001084497,0.0001500715,0.0005032655,0.0003706351,0.0003927486,0.0003132089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085116,"about_ca_system_score_gemma":0.0003147721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005244364,"about_ca_topic_score_gemma":0.005855726,"domain_scores_codex":[0.9998523,0.00004170453,0.00001090398,0.00004679389,0.00002510613,0.00002322841],"domain_scores_gemma":[0.9986519,0.0009455644,0.0001032734,0.0000743444,0.0001357802,0.00008912824],"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":[0.005429613,0.0008177933,0.09456636,0.0003122918,0.0001692763,0.0007032639,0.0005035336,0.0261438,0.1411434,0.0004903845,0.003069116,0.7266513],"study_design_scores_gemma":[0.0001167311,0.001962807,0.3615223,0.0001916208,0.0003348551,0.001766859,0.000782278,0.5153529,0.113759,0.001573385,0.002562896,0.00007443002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890921,0.0003189596,0.008409017,0.0001542261,0.00004139669,0.00002871419,0.0004513156,0.000325694,0.001178533],"genre_scores_gemma":[0.9881995,0.0001859414,0.01030886,0.00004371187,0.00001113053,0.00001350187,0.0004567196,0.00003076347,0.0007499681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005244364,"threshold_uncertainty_score":0.01042771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246282004113582,"score_gpt":0.2693067233815141,"score_spread":0.2368439033403783,"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."}}