{"id":"W2121613954","doi":"10.1080/13506280701434532","title":"Gaze selection in complex social scenes","year":2008,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Gaze; Psychology; Selection (genetic algorithm); Cognitive psychology; Task (project management); Stimulus (psychology); Eye tracking; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008078451,0.00009803303,0.0001006452,0.0001867995,0.0003084235,0.00002383868,0.00003928103,0.00008161401,0.001216328],"category_scores_gemma":[0.00007889831,0.0001086042,0.00004439123,0.0004567386,0.0000886487,0.0002435969,0.00001221304,0.0001374951,0.0008997004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004969448,"about_ca_system_score_gemma":0.00002392424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154573,"about_ca_topic_score_gemma":0.00004771419,"domain_scores_codex":[0.9990095,0.0001700239,0.000170183,0.0002451506,0.0002115573,0.0001935243],"domain_scores_gemma":[0.9997932,0.00004733826,0.00004938455,0.00002044198,0.00005105808,0.00003860802],"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":[0.0000796778,0.0002199727,0.0009641953,0.00001204428,0.00000113376,0.000008215202,0.0004438239,0.000003734542,0.9865718,0.0001038255,0.0007342288,0.01085736],"study_design_scores_gemma":[0.002975295,0.0004318201,0.5427282,0.00005242626,0.00002301855,0.000309713,0.0003694202,0.01089888,0.4362548,0.001708714,0.003610519,0.0006372411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991756,0.000002165683,0.0003883977,0.0001709751,0.00007868392,0.0001742604,0.000012621,0.0001469615,0.007269907],"genre_scores_gemma":[0.9985963,0.00006416156,0.00004821717,0.0008532119,0.0001834129,0.00002496592,0.0000620393,0.00001269454,0.0001550126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.550317,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2045729935840871,"score_gpt":0.3740675901206016,"score_spread":0.1694945965365144,"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."}}