{"id":"W2291429736","doi":"10.1016/j.isprsjprs.2016.01.017","title":"Towards a voxel-based geographic automata for the simulation of geospatial processes","year":2016,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geospatial analysis; Computer science; Cellular automaton; Voxel; Geographic information system; Raster graphics; Automaton; Representation (politics); Spatial analysis; Data mining; Theoretical computer science; Artificial intelligence; Cartography; Geography; Remote sensing","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":[0.0003826925,0.0001284244,0.0002139602,0.0001733569,0.000102261,0.00002816667,0.0001184333,0.00008179071,0.00000182308],"category_scores_gemma":[0.0003097995,0.00007488937,0.0001134559,0.00028833,0.00009707807,0.00008174615,0.00001366731,0.000107218,2.224196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001900161,"about_ca_system_score_gemma":0.00006599961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001305495,"about_ca_topic_score_gemma":0.00006989148,"domain_scores_codex":[0.999083,0.00001885095,0.0004335702,0.00009555128,0.0001956646,0.0001733535],"domain_scores_gemma":[0.9984099,0.0006858088,0.0002216419,0.0001668767,0.000453143,0.00006265275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005357673,0.0000136676,0.00003528853,0.0001870312,0.00007471006,0.000001184181,0.0001063096,0.1961969,0.01416689,0.000003541283,0.00001155202,0.7891493],"study_design_scores_gemma":[0.0007390252,0.00009875809,0.0002308019,0.0003345841,0.0001127049,0.00002352515,0.00003316389,0.9657884,0.03062188,0.0009570298,0.0009513889,0.0001087726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1495597,0.0005295545,0.8492529,0.0001950375,0.0001930363,0.0002059604,0.00001123298,0.00003930797,0.00001328224],"genre_scores_gemma":[0.9483038,0.0001903089,0.05130068,0.00002555141,0.0001527539,2.396739e-7,0.000001127125,0.00002366834,0.00000185615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7987441,"threshold_uncertainty_score":0.30539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530541948217582,"score_gpt":0.2559000497662577,"score_spread":0.2405946302840819,"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."}}