{"id":"W1970235386","doi":"10.1167/11.3.4","title":"Allocation of attention to biological motion: Local motion dominates global shape","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Biological motion; Saccade; Latency (audio); Computer vision; Motion (physics); Computer science; Artificial intelligence; Task (project management); Eye movement; Movement (music); Telecommunications; Physics; Engineering; Acoustics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000574821,0.00009703122,0.0001903805,0.0001366274,0.00005143724,0.00001095942,0.0001344042,0.0001593045,0.002281667],"category_scores_gemma":[0.0001010649,0.00007777025,0.0001100298,0.0003212077,0.00004917264,0.0002812779,0.0000232814,0.0001029229,0.0001510822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290129,"about_ca_system_score_gemma":0.00001874203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000192787,"about_ca_topic_score_gemma":0.00000265583,"domain_scores_codex":[0.9986511,0.0001736671,0.0006603248,0.000143932,0.0002562731,0.0001146355],"domain_scores_gemma":[0.9985785,0.00002698857,0.000576307,0.0001315237,0.0005940349,0.00009257863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001580211,0.001857999,0.1761876,0.0000315855,0.0001210948,0.00001787832,0.00183238,0.0003680173,0.01630673,0.02259128,0.005118724,0.7739865],"study_design_scores_gemma":[0.0007652947,0.001009822,0.9939392,0.00005046923,0.0000226813,0.00006512558,0.0006233956,0.001251442,0.0005941202,0.001060101,0.0005385273,0.00007977813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6353383,0.00004479819,0.3619409,0.0003305888,0.000805245,0.00009832089,0.000002377316,0.00001323343,0.001426217],"genre_scores_gemma":[0.9972032,0.00001788334,0.002383788,0.0001438057,0.0001474562,0.000002084444,0.00001254674,0.000006473215,0.00008280781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8177516,"threshold_uncertainty_score":0.9986304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06497860597936633,"score_gpt":0.3478414388681773,"score_spread":0.282862832888811,"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."}}