{"id":"W2084800388","doi":"10.1167/12.9.494","title":"Group Difference in Feature Scanning While Learning Novel Faces","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gaze; Fixation (population genetics); Eye tracking; Psychology; Eye movement; Audiology; Developmental psychology; Demography; Artificial intelligence; Medicine; Population; Computer science","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":[0.0002998767,0.0002883856,0.000374414,0.0005283605,0.0001585506,0.0003160191,0.0001796706,0.0003471311,0.002569874],"category_scores_gemma":[0.002394737,0.0001710197,0.0001675382,0.000110592,0.0002926089,0.0004151223,0.0004284981,0.0002984546,0.0002569369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545554,"about_ca_system_score_gemma":0.00009564758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008986215,"about_ca_topic_score_gemma":0.001346933,"domain_scores_codex":[0.9997174,0.00003056628,0.00004161532,0.0001023466,0.00006057315,0.00004747223],"domain_scores_gemma":[0.9987587,0.000358075,0.000360384,0.0001634979,0.0001925545,0.0001668316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005294293,0.001084369,0.4238698,0.0001129388,0.0001311683,0.001132422,0.007894381,0.0001835906,0.5278192,0.0001417883,0.0002620374,0.0320739],"study_design_scores_gemma":[0.00001961654,0.001342782,0.990343,0.000003882321,0.00001514031,0.0004786969,0.000916252,0.0001927489,0.006427203,0.00007843234,0.00017072,0.00001164425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997342,0.00001278101,0.00006231077,0.000004084658,0.000001560787,0.000005203071,0.00002063544,0.000002828027,0.000156404],"genre_scores_gemma":[0.9991958,0.000013295,0.000150909,0.000007050438,0.000001799739,0.00002224745,0.00007902463,0.000003479326,0.0005265099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569874,"threshold_uncertainty_score":0.008597136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204857812234412,"score_gpt":0.3347284418585548,"score_spread":0.2926798637362107,"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."}}