{"id":"W4281929615","doi":"10.3390/ijgi11060322","title":"Efficient Calculation of Distance Transform on Discrete Global Grid Systems","year":2022,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Distance transform; Computer science; Distortion (music); Discretization; Grid; Polygon mesh; Algorithm; Boundary (topology); Artificial intelligence; Mathematics; Image (mathematics); Geography; Remote sensing; Geometry; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000599862,0.00009387313,0.0001342843,0.0002548847,0.0001038085,0.0002166206,0.001102889,0.00001815724,0.00001635317],"category_scores_gemma":[0.00003138764,0.00008323817,0.0001094673,0.000262576,0.00001926136,0.002095142,0.0001549134,0.0001292422,0.00001246921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469181,"about_ca_system_score_gemma":0.00005808062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336743,"about_ca_topic_score_gemma":9.500915e-7,"domain_scores_codex":[0.997601,0.00004157191,0.0007075946,0.00007224262,0.001458019,0.0001196173],"domain_scores_gemma":[0.9986401,0.00002806477,0.0007683549,0.0001602354,0.0003578398,0.00004543043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002491675,0.0001319555,0.0003714344,0.0000402275,0.0001587342,0.00001710157,0.00124869,0.6037372,0.0000126708,0.2666017,0.005052324,0.1223788],"study_design_scores_gemma":[0.001399923,0.00035072,0.003944466,0.00008581278,0.0000183971,0.00009968755,0.0004442811,0.8697602,0.00009407253,0.0007925288,0.1228335,0.0001764029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01087442,0.00003917097,0.9785383,0.001491057,0.005122442,0.0001680528,0.0002735235,0.00002047758,0.00347259],"genre_scores_gemma":[0.9979374,0.00001106581,0.001606456,0.0001789497,0.0001264793,0.000006268301,0.00009988715,0.000002087505,0.00003138193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.987063,"threshold_uncertainty_score":0.3394354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005550111020099068,"score_gpt":0.2416302590268657,"score_spread":0.2360801480067666,"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."}}