{"id":"W1601118064","doi":"","title":"Geometric displacement on plane and sphere","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geometry; Rendering (computer graphics); Computation; Plane (geometry); Surface (topology); Manifold (fluid mechanics); Mathematics; Displacement mapping; Perpendicular; Focus (optics); Computer vision; Computer science; Artificial intelligence; Physics; Optics; Algorithm; Texture mapping","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000302364,0.00004775096,0.00004784126,0.0000614655,0.0000769011,0.00002115413,0.0001266247,0.00000787214,0.00007439308],"category_scores_gemma":[0.00001119175,0.00003518634,0.000008474574,0.0002307081,0.00001447333,0.0001604387,0.00008419182,0.00003846587,0.00009682712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008564542,"about_ca_system_score_gemma":0.000006286364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004466121,"about_ca_topic_score_gemma":5.559811e-7,"domain_scores_codex":[0.9995652,0.000005667544,0.00005567761,0.0001539923,0.000117451,0.0001020036],"domain_scores_gemma":[0.9997328,0.00003509429,0.00001329048,0.0001567291,0.000008349823,0.00005375392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000120415,0.0001352664,0.007830423,0.000008669454,0.000007937922,0.0001042402,0.0002920408,0.0001330744,0.000419096,0.03978216,0.02839866,0.9228764],"study_design_scores_gemma":[0.003656797,0.001221965,0.1788164,0.00007348268,0.000004867718,0.0005709346,0.0001784143,0.2962908,0.01849458,0.003291943,0.4962496,0.001150188],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02275783,0.0001252091,0.9468725,0.0006181292,0.00009804237,0.00004800819,2.479074e-7,0.00008822235,0.02939175],"genre_scores_gemma":[0.8894616,0.0001168599,0.102631,0.001547868,0.00001865504,0.000001650035,5.089189e-7,0.00000314167,0.006218802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9217262,"threshold_uncertainty_score":0.1434857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813800779104834,"score_gpt":0.2498272434432566,"score_spread":0.2316892356522083,"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."}}