{"id":"W2089998977","doi":"10.3389/fpsyg.2014.00193","title":"Developmental changes in attention to faces and bodies in static and dynamic scenes","year":2014,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Psychology; Gaze; Cognitive psychology; Perception; Motion (physics); Face perception; Face (sociological concept); Biological motion; Cognition; Visual perception; Eye movement; Preference; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002550222,0.0002973169,0.0002571722,0.0007871711,0.0002202545,0.0004291862,0.0001826855,0.0003475031,0.001679778],"category_scores_gemma":[0.001451722,0.0002034766,0.0002439198,0.0001759872,0.0004529175,0.0003999096,0.0004848354,0.0003847035,0.0001811467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521956,"about_ca_system_score_gemma":0.00022852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941398,"about_ca_topic_score_gemma":0.003521649,"domain_scores_codex":[0.9997669,0.00001948078,0.00001950338,0.00009415696,0.00005831632,0.00004163667],"domain_scores_gemma":[0.9994585,0.0001009642,0.000207594,0.00003681977,0.00009653614,0.00009965905],"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":[0.0005496318,0.0001540651,0.1735436,0.0001741817,0.0000433838,0.002254863,0.003304514,0.0001792179,0.7753851,0.0005342183,0.0004103291,0.04346681],"study_design_scores_gemma":[0.000003723237,0.0001749522,0.9819146,0.00001316657,0.00001465882,0.001196425,0.0006028507,0.0001253236,0.01542816,0.0001600888,0.0003572702,0.000008796247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982572,0.000203821,0.0005149748,0.00002547844,0.000006457792,0.000008160986,0.0001139634,0.00002564685,0.0008442791],"genre_scores_gemma":[0.9980843,0.000207805,0.0009687962,0.00002343347,0.000003542618,0.00001772348,0.0001317225,0.00001201786,0.0005506121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002941398,"threshold_uncertainty_score":0.005848587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303189217948771,"score_gpt":0.3207181106414971,"score_spread":0.29039918884662,"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."}}