{"id":"W4296301624","doi":"10.17721/1728-2713.97.03","title":"IDENTIFICATION AND ANALYSIS OF STRUCTURAL-TECTONIC FEATURES OF GEOLOGICAL TERRAINS USING LINEAMENT ANALYSIS: EXAMPLES OF GEOMODELLING FOR CANADIAN AND UKRAINIAN SHIELDS","year":2022,"lang":"en","type":"article","venue":"Visnyk of Taras Shevchenko National University of Kyiv Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Taras Shevchenko National University of Kyiv; Université de Lorraine; Geological Society of London","keywords":"Lineament; Prospecting; Tectonics; Geology; Terrain; Shield; Geologic map; Block (permutation group theory); Geospatial analysis; Mining engineering; Ukrainian; Earth science; Remote sensing; Geomorphology; Cartography; Geography; Seismology; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005453083,0.00009518592,0.0004617458,0.0009290555,0.0001539231,0.000003443509,0.0004010278,0.00009765055,0.00008493657],"category_scores_gemma":[0.0001133185,0.0001088949,0.0001632694,0.0009879109,0.0003451567,0.00008150738,0.0002331044,0.00008981738,1.261467e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946659,"about_ca_system_score_gemma":0.0001940641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418687,"about_ca_topic_score_gemma":0.004859947,"domain_scores_codex":[0.9988794,0.00009615524,0.0003453682,0.0002966877,0.0002350847,0.0001472635],"domain_scores_gemma":[0.9984494,0.0002672547,0.000572146,0.0001876933,0.0004669751,0.00005648847],"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":[0.000144331,0.0001142342,0.1557849,0.0002349259,0.004175919,0.000003665473,0.007825881,0.7758475,0.02667758,0.02844962,0.00001614802,0.0007252696],"study_design_scores_gemma":[0.0004221406,0.0001538127,0.3352512,0.000007253991,0.000993747,0.000006513727,0.001039675,0.6560614,0.002432062,0.003379619,0.0001199598,0.0001327042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969196,0.0001844755,0.02957082,0.0006307272,0.00002020494,0.0001164912,0.0001631146,0.00000444182,0.0001137054],"genre_scores_gemma":[0.9882184,0.00001343668,0.01160232,0.00001579727,0.000004118107,5.758932e-7,0.00009553418,0.000001021598,0.00004880277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1794662,"threshold_uncertainty_score":0.9923778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256989026020336,"score_gpt":0.2386879362844748,"score_spread":0.2129890336824412,"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."}}