{"id":"W3168786072","doi":"10.1111/cgf.142639","title":"Patch Erosion for Deformable Lapped Textures on 3D Fluids","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Texture (cosmology); Artifact (error); Feature (linguistics); Filling-in; Distortion (music); Displacement mapping; Erosion; Animation; Process (computing); Computer graphics (images); Texture mapping; Geology; Image (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003670415,0.0003433414,0.0003503748,0.0004030715,0.0005100361,0.0005801216,0.001126813,0.0002066282,0.000006034902],"category_scores_gemma":[0.00001677334,0.0003257383,0.0003346607,0.00105531,0.00005962446,0.0004545802,0.000781389,0.0002516417,0.00001161974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003188067,"about_ca_system_score_gemma":0.0001172255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001593425,"about_ca_topic_score_gemma":0.00003067454,"domain_scores_codex":[0.9975382,0.00008817936,0.0004686942,0.0008318762,0.000436327,0.000636717],"domain_scores_gemma":[0.9978895,0.0001944887,0.0001422016,0.00114088,0.0004530766,0.0001798138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000931092,0.0001800249,0.00084521,0.00004058894,0.00003075,0.00001192598,0.0001221925,0.00004031105,0.0001718259,0.9528124,0.0264846,0.01925088],"study_design_scores_gemma":[0.0006572059,0.0005489413,0.0006087055,0.0001002286,0.000009850921,0.00002800736,0.000005908769,0.8057492,0.01197209,0.09366059,0.08619088,0.0004683299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002604003,0.0002394341,0.9933197,0.0011699,0.001301271,0.000403791,0.00001700227,0.0007589827,0.0001859034],"genre_scores_gemma":[0.5736982,0.0006280208,0.4028451,0.0211319,0.0007021183,0.0002596037,0.0002686121,0.0001200601,0.0003463965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8591518,"threshold_uncertainty_score":0.9999195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888224570939416,"score_gpt":0.277668706161578,"score_spread":0.2587864604521838,"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."}}