{"id":"W2893265071","doi":"10.1167/18.10.514","title":"Facial orientation biases in visual vs. pictorial space","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Orientation (vector space); Visual space; Computer vision; Rendering (computer graphics); Computer science; Artificial intelligence; Face (sociological concept); Psychology; Space (punctuation); Computer graphics (images); Mathematics; 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":[0.000747173,0.0002185848,0.0001799441,0.0002574064,0.0001077351,0.0005465468,0.0001323735,0.0002847052,0.002120546],"category_scores_gemma":[0.008395457,0.000147766,0.0001479437,0.0001487627,0.0003023968,0.0003932407,0.0005054325,0.0002407209,0.0002586127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203896,"about_ca_system_score_gemma":0.00008574361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009007505,"about_ca_topic_score_gemma":0.001079279,"domain_scores_codex":[0.9994468,0.0001248079,0.00003676752,0.0001066512,0.000239026,0.00004586434],"domain_scores_gemma":[0.9983338,0.0006190597,0.0005539079,0.0001946884,0.0002196873,0.00007899968],"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":[0.006326678,0.0002397093,0.1425193,0.0002604594,0.000137119,0.0002139112,0.003096764,0.001614309,0.7594354,0.0009023196,0.0006649707,0.08458909],"study_design_scores_gemma":[0.00008106302,0.0008066398,0.9687681,0.00003772503,0.00008254666,0.0003621421,0.001017537,0.00333527,0.02405705,0.0006263867,0.0007849538,0.00004060755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970813,0.00007617899,0.0008586619,0.0000228726,0.00001613088,0.00001323851,0.00003777494,0.000009628766,0.001884071],"genre_scores_gemma":[0.9985391,0.00007876968,0.0006804805,0.00005075505,0.00001208931,0.00002168932,0.00005078222,0.0000123804,0.0005539458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120546,"threshold_uncertainty_score":0.007093966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886045643610382,"score_gpt":0.3632454787719641,"score_spread":0.3343850223358603,"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."}}