{"id":"W2076293176","doi":"10.1080/17538947.2014.927597","title":"Hexagonal connectivity maps for Digital Earth","year":2014,"lang":"en","type":"article","venue":"International Journal of Digital Earth","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Digital Earth; Geospatial analysis; Hexagonal crystal system; Grid; Polyhedron; Search engine indexing; Computer science; Variety (cybernetics); Hexagonal tiling; Theoretical computer science; Geography; Computational science; Data mining; Information retrieval; Mathematics; Cartography; Geometry; Artificial intelligence; Chemistry; Crystallography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00027921,0.0001251022,0.0001683589,0.0001902228,0.00004270369,0.001957322,0.001308482,0.00002735888,0.00001217039],"category_scores_gemma":[0.0003260464,0.0001076005,0.0001934591,0.00009649157,0.00004393566,0.005197844,0.0002889727,0.0001105931,0.0000594923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001562959,"about_ca_system_score_gemma":0.00005385487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.969169e-7,"about_ca_topic_score_gemma":0.000001371291,"domain_scores_codex":[0.9986284,0.00001310455,0.0003458341,0.0001919318,0.0006313975,0.0001893031],"domain_scores_gemma":[0.9987781,0.0002224826,0.0002816904,0.0001780593,0.0004271068,0.0001125344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001073569,0.0003926464,0.005902719,0.00001162053,0.0003391726,0.00006584571,0.00009196519,0.0002109612,0.000082615,0.1839313,0.006123006,0.8027408],"study_design_scores_gemma":[0.003871928,0.0012101,0.0145895,0.0001169395,0.00001976137,0.0004671113,0.00004733259,0.03059398,0.001228199,0.1006549,0.8466222,0.0005780038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04290877,0.00002385931,0.9371938,0.002170525,0.002072341,0.0001026431,0.0002126576,0.00004423034,0.01527115],"genre_scores_gemma":[0.989423,0.000004020013,0.008103429,0.0002468776,0.0007702273,0.000001709449,0.00004319474,0.000009216361,0.001398297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465142,"threshold_uncertainty_score":0.9990788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380105371859322,"score_gpt":0.2448321584920238,"score_spread":0.2310311047734306,"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."}}