{"id":"W4317460366","doi":"10.55365/1923.x2022.20.74","title":"Features of Providing Engineering and Infrastructure Objects with Geospatial Information","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Geodetic Measurements and Engineering Structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Geodetic datum; Geographic information system; Computer science; Remote sensing; Spatial analysis; Cadastre; Aerial survey; Spatial database; Systems engineering; Construction engineering; Data mining; Geography; Engineering; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007405518,0.00007808806,0.0001875944,0.00003434579,0.00002114486,0.00000601714,0.00004423264,0.00001377095,0.000004378111],"category_scores_gemma":[0.000008578417,0.00007113552,0.00001383664,0.00004111403,0.000009184399,0.00008337953,0.00002498842,0.00007177578,2.879961e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302645,"about_ca_system_score_gemma":0.00001010658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005658517,"about_ca_topic_score_gemma":0.000001063564,"domain_scores_codex":[0.9996723,0.000002272469,0.0001732133,0.00005114227,0.00003146051,0.00006959285],"domain_scores_gemma":[0.9998313,0.000007074882,0.00006298468,0.00007408638,0.00001299874,0.00001153182],"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":[0.000007931316,0.000002709579,0.0002306296,0.01253695,0.00005039186,3.419783e-7,0.0003919697,0.8898361,0.0002247766,0.007312034,0.0001629523,0.08924323],"study_design_scores_gemma":[0.002443928,0.0007275077,0.2737695,0.009221333,0.000225005,0.0002791412,0.0002644499,0.4005392,0.004324866,0.0009042225,0.3056669,0.001633932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350873,0.06360959,0.0004084212,0.00002656641,0.0001509774,0.0002617302,0.00005158424,0.00001815665,0.000385639],"genre_scores_gemma":[0.9493271,0.04859466,0.002021134,0.00002071277,0.000008712303,0.00001292255,0.000006248311,0.000006890148,0.000001591104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4892969,"threshold_uncertainty_score":0.2900822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002456422625541538,"score_gpt":0.1438477180945872,"score_spread":0.1413912954690457,"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."}}