{"id":"W1986833787","doi":"10.1167/13.9.94","title":"Adaptation aftereffect from faces using the bubbles technique","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Percept; Adaptation (eye); Facial expression; Psychology; Perception; Expression (computer science); Face (sociological concept); Cognitive psychology; Orientation (vector space); Perspective (graphical); Communication; Artificial intelligence; Computer science; Mathematics; Neuroscience; Geometry","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":[0.0002712397,0.0005608441,0.0003563894,0.0002478363,0.0001443196,0.000175065,0.0003006854,0.0004763674,0.004924159],"category_scores_gemma":[0.001255515,0.0001900915,0.0004776398,0.000112307,0.0003554713,0.0004101743,0.0005291039,0.000795607,0.0002986453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412253,"about_ca_system_score_gemma":0.0001457875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004797719,"about_ca_topic_score_gemma":0.0004729282,"domain_scores_codex":[0.9998362,0.00003260854,0.00001248209,0.00002999397,0.00006017756,0.00002850326],"domain_scores_gemma":[0.9994938,0.0003128207,0.00004618133,0.00006461591,0.00004491694,0.00003752314],"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":[0.0006360321,0.00002950594,0.0002760866,0.0001290698,0.0000236396,0.0002173501,0.0000791683,0.000221946,0.980906,0.0003000438,0.000191271,0.01698995],"study_design_scores_gemma":[0.0001590848,0.002947765,0.03512673,0.00004589339,0.0001850647,0.001777937,0.0001130711,0.007136702,0.945882,0.001528941,0.005039837,0.00005709684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943107,0.001699467,0.09690972,0.0003944013,0.0003319479,0.0003859543,0.0002526733,0.0008865283,0.004828669],"genre_scores_gemma":[0.9703601,0.0007309111,0.02555801,0.0002607083,0.00009003397,0.0002280999,0.0001242794,0.0002014604,0.00244641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004924159,"threshold_uncertainty_score":0.01647294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258485560768239,"score_gpt":0.3221759677955426,"score_spread":0.2795911121878602,"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."}}