{"id":"W4311800527","doi":"10.1167/jov.22.14.4426","title":"Gaze following from another’s perspective","year":2022,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gaze; Avatar; Perspective (graphical); Sight; Mental image; Psychology; Cued speech; Observer (physics); Cognitive psychology; Perspective-taking; Computer vision; Computer science; Social psychology; Artificial intelligence; Cognition; Human–computer interaction; Empathy; Neuroscience","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":[0.0003799693,0.0003280578,0.0002421149,0.000223836,0.0002987951,0.0008007686,0.0002072069,0.000383695,0.002982221],"category_scores_gemma":[0.002940841,0.0001585341,0.0003888717,0.0001007563,0.000374494,0.0006742255,0.0007596756,0.000490178,0.0003362794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629195,"about_ca_system_score_gemma":0.0002713452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802166,"about_ca_topic_score_gemma":0.002127325,"domain_scores_codex":[0.9995973,0.00008080067,0.00001652678,0.0001698531,0.00008811827,0.00004747834],"domain_scores_gemma":[0.9990717,0.000247725,0.0001922931,0.0001926878,0.0002150639,0.00008043674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006955658,0.00004826075,0.02652191,0.000191746,0.000100345,0.0006031257,0.009661333,0.0007160307,0.9106307,0.003705978,0.0005846533,0.04654045],"study_design_scores_gemma":[0.0002007662,0.002986976,0.61531,0.0003693275,0.0005817856,0.00346161,0.01165872,0.01900416,0.306419,0.01213093,0.02763985,0.0002368443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695938,0.0003070528,0.02036081,0.0001595972,0.00005123525,0.00003509767,0.00006442398,0.0001969271,0.009231185],"genre_scores_gemma":[0.9935992,0.0001018216,0.004566316,0.00004679931,0.000007518838,0.00001077632,0.00005194568,0.0000286453,0.001587108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002982221,"threshold_uncertainty_score":0.009976566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483931475970393,"score_gpt":0.3357349064287301,"score_spread":0.2908955916690262,"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."}}