{"id":"W2949845525","doi":"10.1016/j.compbiomed.2019.103332","title":"Network centrality analysis of eye-gaze data in autism spectrum disorder","year":2019,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Mental Health Research Topics","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs","keywords":"Autism spectrum disorder; Gaze; Autism; Centrality; Eye tracking; Computer science; Eye movement; Psychology; Artificial intelligence; Cognitive psychology; Psychiatry; Mathematics","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":[0.001084823,0.00008606823,0.000463661,0.0002599522,0.00001641812,9.64788e-7,0.0003147592,0.0001250891,0.0006333422],"category_scores_gemma":[0.00002589512,0.0000677655,0.0000146732,0.0006324567,0.0002641897,0.00002303405,0.0002281411,0.0002434895,0.000007410717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002881303,"about_ca_system_score_gemma":0.00001753138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759167,"about_ca_topic_score_gemma":0.0009133718,"domain_scores_codex":[0.9984607,0.0003635419,0.0003579054,0.0003742404,0.00006493861,0.0003786448],"domain_scores_gemma":[0.998924,0.0003295697,0.00007524259,0.0005922071,0.000004496169,0.00007448073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008615041,0.00007052651,0.9627836,0.00003639456,0.0001020926,0.00000945382,0.000495694,0.00002231744,0.000006475483,0.02695412,0.000679769,0.008753353],"study_design_scores_gemma":[0.001293477,0.000234145,0.9866006,0.00006481235,0.00002887806,0.000001343528,0.0001043021,0.003243438,2.412978e-7,0.004262586,0.00411129,0.00005490462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828399,0.003970255,0.001307467,0.00861863,0.00135151,0.0003196649,0.00002028555,0.000008540163,0.00156375],"genre_scores_gemma":[0.9979425,0.0004033922,0.0003413175,0.0008059212,0.00008366127,0.000003394779,0.0002633012,0.000003516808,0.0001530144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02381693,"threshold_uncertainty_score":0.6934654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07126245962806506,"score_gpt":0.4672679397018455,"score_spread":0.3960054800737805,"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."}}