{"id":"W4211208778","doi":"10.1007/s12518-022-00422-6","title":"Hybrid extraction of tectonic lineaments from digital elevation model","year":2022,"lang":"en","type":"article","venue":"Applied Geomatics","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Lineament; Geology; Tectonics; Digital elevation model; Fractal dimension; Fractal; Remote sensing; Seismology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001801997,0.0008882949,0.0006618091,0.002989667,0.0002740559,0.001089376,0.0006150719,0.0005850964,0.002331209],"category_scores_gemma":[0.0006902787,0.0004119641,0.0009422739,0.002944876,0.0001560317,0.0006886596,0.0006010079,0.0004186651,0.001468267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978514,"about_ca_system_score_gemma":0.0007075226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006657415,"about_ca_topic_score_gemma":0.01097495,"domain_scores_codex":[0.9998114,0.00001702634,0.00001290728,0.00005597905,0.00006470261,0.00003809126],"domain_scores_gemma":[0.9998193,0.00004154706,0.00002289634,0.00003790111,0.00006342795,0.00001497003],"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":[0.0003201834,0.0001855005,0.01210811,0.0002195551,0.0002413034,0.0004346905,0.00009218381,0.1941868,0.05190047,0.00250181,0.005514462,0.7322949],"study_design_scores_gemma":[0.0000250363,0.00003914598,0.007214696,0.00001620894,0.00006875276,0.0001378951,0.00005206,0.9745681,0.0127892,0.001462491,0.003599764,0.00002666789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238782,0.0003798427,0.8620235,0.0001138828,0.00006781124,0.0001096959,0.003736841,0.006804851,0.002885344],"genre_scores_gemma":[0.6029788,0.0004239898,0.3828772,0.00004314048,0.0000431056,0.0001475035,0.0094817,0.0002893003,0.003715257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006657415,"threshold_uncertainty_score":0.01323736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797656055219472,"score_gpt":0.1997516150666878,"score_spread":0.1919539590114683,"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."}}