{"id":"W2066352424","doi":"10.1145/2810038","title":"The Perception of Lighting Inconsistencies in Composite Outdoor Scenes","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Regional Development Fund; National Science Foundation","keywords":"Computer science; Computer vision; Perception; Set (abstract data type); Artificial intelligence; Object (grammar); Notice; Key (lock); Computer graphics (images); Psychology; Computer security","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":[0.000767601,0.0005561183,0.0005639161,0.0007576394,0.0006235464,0.001428475,0.0005799259,0.0006632588,0.001785468],"category_scores_gemma":[0.005088103,0.0005024105,0.0004143433,0.0003809498,0.0007947164,0.001164984,0.00152022,0.0008237962,0.0002019104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479469,"about_ca_system_score_gemma":0.0002411645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198129,"about_ca_topic_score_gemma":0.001986898,"domain_scores_codex":[0.9990133,0.0002400032,0.00003407682,0.0001969476,0.0003695686,0.0001461258],"domain_scores_gemma":[0.9975516,0.001155824,0.0004817281,0.0003301791,0.000303858,0.00017684],"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":[0.007968436,0.000470786,0.05451069,0.0009587575,0.0003775498,0.002131075,0.007305528,0.02872104,0.8057842,0.002821114,0.002722782,0.08622801],"study_design_scores_gemma":[0.0004379068,0.004222332,0.6030098,0.0003204559,0.0007255921,0.00695315,0.014383,0.1609159,0.1853072,0.009134215,0.01411546,0.0004748646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834085,0.0001911995,0.01399873,0.00006838622,0.00002749972,0.00003225491,0.0001160274,0.0001705645,0.001986861],"genre_scores_gemma":[0.9897196,0.0001207019,0.009524218,0.00007430223,0.00001411803,0.00001482404,0.0001950747,0.00007817976,0.0002589349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198129,"threshold_uncertainty_score":0.005972922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290498743107749,"score_gpt":0.2432551556287837,"score_spread":0.2003501681977062,"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."}}