{"id":"W2482431522","doi":"10.1190/tle35080703.1","title":"Pixels and their neighbors: Finite volume","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Parallels; Finite volume method; Finite element method; Pixel; Volume (thermodynamics); Computer science; Matrix (chemical analysis); Whiteboard; Computer graphics (images); Computational science; Artificial intelligence; Mechanical engineering; Mechanics; Physics; Engineering; Structural engineering; World Wide Web; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002621595,0.00008768967,0.0001143481,0.00002098844,0.0001283956,0.00003252918,0.0001631726,0.00003270163,0.000522669],"category_scores_gemma":[0.0001662003,0.0000330676,0.00003516093,0.0001515065,0.000109518,0.00008746918,0.00001275238,0.00008549986,0.001616501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001321076,"about_ca_system_score_gemma":0.000007482476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009195918,"about_ca_topic_score_gemma":0.0000307824,"domain_scores_codex":[0.9993547,0.0001089062,0.0000801143,0.000147349,0.00006418178,0.0002447231],"domain_scores_gemma":[0.9986176,0.001128385,0.00002600247,0.0001379269,0.00001155282,0.00007852281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001070051,0.000003848681,0.01245357,0.000002756649,0.000006582288,8.091513e-7,0.0001510318,0.000006737316,0.0005676181,0.0002616218,0.001132204,0.9854025],"study_design_scores_gemma":[0.0003078896,0.0003052822,0.6946033,0.00004023719,0.0000147411,0.00001127821,0.00003487907,0.00410118,0.002413124,0.08977317,0.2081029,0.0002920359],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511329,0.0009526526,0.01047803,0.01208285,0.0004927748,0.000161329,0.00003863966,0.0001160618,0.02454477],"genre_scores_gemma":[0.990098,0.00003659985,0.0002083254,0.0005120921,0.0002613267,6.157219e-7,0.000001307817,0.000002155107,0.008879589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9851105,"threshold_uncertainty_score":0.9991609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072737162614199,"score_gpt":0.225137448575122,"score_spread":0.20441007694898,"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."}}