{"id":"W1985187713","doi":"10.17714/gufbed.2014.04.009","title":"Taşkın Modelleme ve Risk Analizinde LiDAR Verisiyle Sayısal Yükseklik Modeli Üretimi","year":2014,"lang":"tr","type":"article","venue":"Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007755219,0.001373587,0.001218388,0.0006406289,0.0005046165,0.002436937,0.001295698,0.001407763,0.007744624],"category_scores_gemma":[0.001925281,0.0004903035,0.001311128,0.0005789649,0.0004542737,0.001437864,0.0008665278,0.001409074,0.001828461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009291508,"about_ca_system_score_gemma":0.001336314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128504,"about_ca_topic_score_gemma":0.00857243,"domain_scores_codex":[0.999662,0.00006259251,0.00002314768,0.0001129136,0.00008208178,0.00005718958],"domain_scores_gemma":[0.9994617,0.0002363627,0.00004959782,0.00003276622,0.0002018024,0.00001774565],"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":[0.0002153254,0.00007188826,0.002856146,0.0002035747,0.00008232013,0.0002999784,0.0001667709,0.9161153,0.002636306,0.00598912,0.004479469,0.06688365],"study_design_scores_gemma":[0.000005908243,0.00002725319,0.0004625563,0.00001454864,0.00001222201,0.00004583145,0.00003860548,0.9953917,0.000655826,0.00191402,0.001419566,0.00001187575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1011291,0.002067715,0.8769523,0.001356177,0.0003399515,0.0001947259,0.001779549,0.003521553,0.01265894],"genre_scores_gemma":[0.8805041,0.001844732,0.09534939,0.0001844026,0.00009620091,0.0005397646,0.003036139,0.000338272,0.01810686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02128504,"threshold_uncertainty_score":0.04232228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090843405343585,"score_gpt":0.2024784314938572,"score_spread":0.1933940909594987,"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."}}