{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007009869,0.0004604206,0.0005505405,0.0006794047,0.0005778722,0.001793836,0.001896015,0.001026396,0.01143596],"category_scores_gemma":[0.004328061,0.0004992035,0.0005956046,0.0006903188,0.00128042,0.00237994,0.001982257,0.001650834,0.002425333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006395235,"about_ca_system_score_gemma":0.0006445847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521153,"about_ca_topic_score_gemma":0.006915329,"domain_scores_codex":[0.9995901,0.00009200007,0.00001271782,0.00006414909,0.0002141503,0.00002690639],"domain_scores_gemma":[0.9993221,0.0003901284,0.00004425888,0.0000792334,0.0001119355,0.00005235101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006961136,0.00003552638,0.0008604989,0.0001878278,0.00003914627,0.0001349146,0.0003728541,0.1750629,0.002007172,0.66302,0.03241111,0.1257985],"study_design_scores_gemma":[0.00001992934,0.00001256211,0.0001555723,0.00005154288,0.000009367645,0.0001255724,0.00006246923,0.6833178,0.001003021,0.2658474,0.04937558,0.00001919672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003522368,0.001323022,0.9817023,0.000805721,0.0002417078,0.00003235236,0.000198093,0.0006456021,0.01152882],"genre_scores_gemma":[0.2260895,0.002326335,0.7393317,0.0005419317,0.0004452999,0.000246663,0.000860407,0.001576536,0.02858167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01143596,"threshold_uncertainty_score":0.03825706,"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."}}