{"id":"W4402800238","doi":"10.3390/math12182886","title":"Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Autism spectrum disorder; Computer science; Spectrum (functional analysis); Artificial intelligence; Pattern recognition (psychology); Machine learning; Autism; Psychology; Physics; Developmental psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000672249,0.001180036,0.0006049598,0.001207617,0.0003905543,0.0005777213,0.001031976,0.0007533091,0.001062689],"category_scores_gemma":[0.002392953,0.0001644725,0.0005159506,0.0006046152,0.0002715046,0.0007493597,0.0009356028,0.0007487537,0.000664264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008096136,"about_ca_system_score_gemma":0.0009007307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170181,"about_ca_topic_score_gemma":0.0364424,"domain_scores_codex":[0.9994283,0.0000929312,0.00004097637,0.0002055981,0.0001432546,0.00008889064],"domain_scores_gemma":[0.9995697,0.0001072321,0.00004010814,0.0001124406,0.0001395824,0.00003088856],"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":[0.001474144,0.00128203,0.04271963,0.0004790516,0.0005451546,0.001343304,0.0002220837,0.1489639,0.04277459,0.002419173,0.08075549,0.6770214],"study_design_scores_gemma":[0.0001290825,0.0002469325,0.01896614,0.00005274521,0.00008201117,0.0003821212,0.0001820349,0.9486294,0.02033326,0.003003193,0.00793593,0.00005723561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.862713,0.002900865,0.08800364,0.001339503,0.0005446593,0.0002892725,0.01740047,0.01865305,0.008155582],"genre_scores_gemma":[0.8803046,0.0004084799,0.07751807,0.0004679026,0.00006386036,0.0001847318,0.03647285,0.0001659794,0.004413563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02170181,"threshold_uncertainty_score":0.04315096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734408547961994,"score_gpt":0.3089090518291825,"score_spread":0.2715649663495626,"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."}}