{"id":"W2009040676","doi":"10.1145/2788940.2788954","title":"Spatial Constancy of Surface-Embedded Layouts across Multiple Environments","year":2015,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Exploit; Embedding; Constraint (computer-aided design); Weighting; Computer graphics (images); Distributed computing; Human–computer interaction; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004714235,0.0005382115,0.0004432576,0.0004133683,0.0004327078,0.001486309,0.0011936,0.0003214384,0.002262678],"category_scores_gemma":[0.003644113,0.0004532563,0.0002902405,0.0004870633,0.0007183011,0.001494756,0.001663271,0.0005659129,0.0004375706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093567,"about_ca_system_score_gemma":0.0007091414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672973,"about_ca_topic_score_gemma":0.004721541,"domain_scores_codex":[0.9995317,0.00007280032,0.00002176447,0.0001728885,0.0001553041,0.00004555719],"domain_scores_gemma":[0.9983157,0.0003875205,0.0002818738,0.0006542048,0.0002437587,0.0001169594],"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":[0.0006411046,0.0002396287,0.009243862,0.0002300976,0.0001030174,0.0003145109,0.001093484,0.2204061,0.492526,0.01905384,0.001712372,0.254436],"study_design_scores_gemma":[0.0001101347,0.0005755841,0.01870522,0.00003173753,0.00008029232,0.0006358607,0.0005347732,0.7616541,0.1917195,0.01252843,0.01324527,0.0001790588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2024862,0.0001447785,0.7916713,0.00009735148,0.00002475454,0.00005310074,0.0001613325,0.001564542,0.003796736],"genre_scores_gemma":[0.8182201,0.0001138572,0.1789716,0.00004180489,0.00001051304,0.00006487385,0.0001524996,0.0003068967,0.002117799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002672973,"threshold_uncertainty_score":0.007569432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858292446966319,"score_gpt":0.2820064464634973,"score_spread":0.2534235219938341,"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."}}