{"id":"W1996711760","doi":"10.1007/s00415-012-6631-2","title":"High-throughput classification of clinical populations from natural viewing eye movements","year":2012,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; National Science Foundation","keywords":"Eye movement; Eye tracking; Neurology; Fetal Alcohol Spectrum Disorder; Neuroimaging; Neuroradiology; Attention deficit hyperactivity disorder; Medicine; Psychology; Physical medicine and rehabilitation; Neuroscience; Artificial intelligence; Psychiatry; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000434946,0.00008295289,0.0004826384,0.00009731941,0.00002598852,0.000001827734,0.00009322324,0.0001398936,0.00007099241],"category_scores_gemma":[0.0004537389,0.00006248103,0.0001784631,0.00008477627,0.0001001597,0.0001536797,0.00004104512,0.0005302546,0.00001627908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008885881,"about_ca_system_score_gemma":0.00003343099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001355041,"about_ca_topic_score_gemma":0.000001663264,"domain_scores_codex":[0.9983998,0.0001929645,0.0009534025,0.0001068064,0.0001792076,0.0001678163],"domain_scores_gemma":[0.9986867,0.0002018246,0.0007075405,0.0001556473,0.0001330797,0.0001152449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009874895,0.0005315472,0.922437,0.00001720335,0.0001094107,0.00009975651,0.0002059484,0.000005242804,0.05671636,0.0009633848,0.0006444996,0.01728213],"study_design_scores_gemma":[0.001323596,0.0006965434,0.9905229,0.00001323339,0.00009058709,0.0002322671,0.00001532996,0.00007364596,0.0003024254,0.0009140549,0.005774181,0.00004121368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915177,0.0007524981,0.0004259885,0.003763163,0.003317352,0.00007388344,0.000006907006,0.000006002708,0.0001365697],"genre_scores_gemma":[0.9933121,0.00005988499,0.002576925,0.002823852,0.001128069,7.891148e-7,0.00001559192,0.000009885936,0.00007288923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06808589,"threshold_uncertainty_score":0.2547902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188245496180865,"score_gpt":0.4009343748593375,"score_spread":0.282109825241251,"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."}}