{"id":"W4413949908","doi":"10.1016/j.mex.2025.103607","title":"EyeMap: A fusion-based method for eye movement-based visual attention maps as predictive markers of parkinsonism","year":2025,"lang":"en","type":"article","venue":"MethodsX","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Institute of Mental Health and Neurosciences","keywords":"Eye movement; Parkinsonism; Artificial intelligence; Fusion; Computer science; Computer vision; Movement (music); Neuroscience; Psychology; Pattern recognition (psychology); Medicine; Art; Pathology; Philosophy","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":[0.002588622,0.0002235304,0.0004013926,0.0004868165,0.0001694576,0.00004378552,0.0006875382,0.0001886565,0.00001042017],"category_scores_gemma":[0.0006772159,0.0002125315,0.0002502014,0.000756094,0.0001435645,0.00008962965,0.0001502953,0.0001846164,0.000003803879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009628577,"about_ca_system_score_gemma":0.0002655341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009492806,"about_ca_topic_score_gemma":0.000004631432,"domain_scores_codex":[0.9975664,0.0007245475,0.000428274,0.0006471254,0.0002731936,0.0003604605],"domain_scores_gemma":[0.9973513,0.00150183,0.0002662863,0.0005603326,0.0002616142,0.00005867669],"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":[0.0008010787,0.0006912539,0.004577799,0.0003256296,0.0002428256,0.00001026104,0.00007980245,0.0009278372,0.09309018,0.05504902,0.001164632,0.8430397],"study_design_scores_gemma":[0.002613109,0.001524121,0.021176,0.0002374988,0.0001191967,4.869904e-7,0.00009007473,0.6719446,0.2398381,0.05548625,0.006640108,0.0003304587],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007139043,0.0000652959,0.9884234,0.002370924,0.000497918,0.0005800943,0.00002824357,0.0003115172,0.0005835307],"genre_scores_gemma":[0.09687671,0.000001616587,0.9014485,0.0009318278,0.00001697026,0.0002216828,0.00001470956,0.00001312872,0.0004748325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8427092,"threshold_uncertainty_score":0.8666784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330277775670385,"score_gpt":0.3509362943301109,"score_spread":0.337633516573407,"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."}}