{"id":"W2045591246","doi":"10.1167/11.2.19","title":"Searching for a perceived gaze direction using eye tracking","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Gaze; Fixation (population genetics); Eye tracking; Psychology; Eye movement; Visual search; Cognitive psychology; Communication; Computer vision; Computer science; Neuroscience; Medicine","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":[0.0004259348,0.00006155904,0.0001046993,0.000172759,0.0001664899,0.00004658651,0.00007242143,0.00004243046,0.0001769901],"category_scores_gemma":[0.0003419009,0.00005015564,0.0001181956,0.00009830386,0.00002230691,0.0005106458,0.00001045352,0.0001595906,0.00001126542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005343876,"about_ca_system_score_gemma":0.00002393384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009038808,"about_ca_topic_score_gemma":0.000002064814,"domain_scores_codex":[0.9992283,0.0001105577,0.0002363744,0.0001000963,0.0002016342,0.0001230108],"domain_scores_gemma":[0.9995022,0.00008506991,0.0001909894,0.00004712766,0.0001085699,0.00006601028],"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":[0.0001312541,0.00006144735,0.0001201989,0.00001151128,0.000001514914,0.000004057133,0.001780531,0.00005139528,0.9408719,0.00001201249,0.00002614712,0.05692802],"study_design_scores_gemma":[0.00351733,0.002531498,0.3583815,0.001518606,0.0001086875,0.0009001718,0.002099184,0.101984,0.5212342,0.003438061,0.003761382,0.0005253667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864039,0.00001138187,0.01210383,0.00005969512,0.0004144599,0.00009401341,0.000001261169,0.00001379411,0.0008976205],"genre_scores_gemma":[0.9951756,0.0000818423,0.004398621,0.0001037925,0.0001679452,5.626216e-7,2.489688e-7,0.00001100906,0.00006035047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196377,"threshold_uncertainty_score":0.2045288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.184414026330694,"score_gpt":0.4033363268711425,"score_spread":0.2189223005404485,"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."}}