{"id":"W4362730462","doi":"10.3819/ccbr.2023.180005","title":"Eye Tracking in Dogs: Achievements and Challenges","year":2023,"lang":"en","type":"article","venue":"Comparative Cognition & Behavior Reviews","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Austrian Science Fund; Vienna Science and Technology Fund","keywords":"Eye tracking; Pupillometry; Gaze; Perception; Eye movement; Cognition; Psychology; Animal cognition; Cognitive psychology; Stimulus (psychology); Computer science; Artificial intelligence; Pupil; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002525704,0.0001525278,0.0002794127,0.00008322934,0.00007969628,0.00002308208,0.00006433114,0.00004887747,0.00004799493],"category_scores_gemma":[0.00005136701,0.0001412894,0.00006085967,0.0001142719,0.00006389205,0.00001185256,0.00009137948,0.00009647253,0.0002298036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001099401,"about_ca_system_score_gemma":0.00000623638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002543541,"about_ca_topic_score_gemma":0.0001458757,"domain_scores_codex":[0.9989844,0.0001590491,0.0003061485,0.0003166951,0.00007792705,0.0001557557],"domain_scores_gemma":[0.9996306,0.00001537644,0.000108344,0.000119241,0.00008687278,0.00003952915],"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":[0.0001328364,0.0005940928,0.04115082,0.0002867696,0.0001021799,0.00003087727,0.004111662,0.000001724996,0.8294553,0.0001391148,0.007629332,0.1163653],"study_design_scores_gemma":[0.0008849014,0.000331124,0.5710014,0.0003311113,0.00009531626,0.000007885539,0.002049312,0.000008764923,0.02071519,0.00003962344,0.4041317,0.0004036916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690603,0.02833213,0.00002287106,0.0001346994,0.0001010892,0.0006194033,0.00001277273,0.00002182751,0.001694932],"genre_scores_gemma":[0.9430663,0.05580763,0.00005143884,0.0001027117,0.00006262185,0.0004977962,0.0001266325,0.0000101047,0.0002747592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8087401,"threshold_uncertainty_score":0.5761616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2795628721097757,"score_gpt":0.483928998794687,"score_spread":0.2043661266849114,"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."}}