{"id":"W6921084227","doi":"10.6084/m9.figshare.7435382","title":"Economic Assessment of Landslide Risk for the Waidhofen a.d. Ybbs Region, Alpine Foreland, Lower Austria","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Debris; Estimation; Risk assessment; Real estate; Economic impact analysis; Economic analysis","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":[0.000413816,0.0003976829,0.0001701295,0.001544226,0.0002403732,0.0008843577,0.0002109524,0.0002604212,0.001302647],"category_scores_gemma":[0.0006726188,0.0001731255,0.0003244501,0.001409417,0.0001718733,0.000355329,0.0004915979,0.000173897,0.0001953125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404576,"about_ca_system_score_gemma":0.0004386816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949605,"about_ca_topic_score_gemma":0.03460573,"domain_scores_codex":[0.9997752,0.00005455307,0.00001351831,0.00002802932,0.00008798464,0.00004074832],"domain_scores_gemma":[0.9998534,0.00002827864,0.00004948079,0.000007304064,0.00003474109,0.00002687498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007136308,0.0001458692,0.6800457,0.0003460335,0.0004234506,0.00246517,0.0009249669,0.1343084,0.007948321,0.004217947,0.002836307,0.1656242],"study_design_scores_gemma":[0.00003225131,0.0004023603,0.8922284,0.0001551798,0.0001193189,0.0006382926,0.003002236,0.0884861,0.002576559,0.001670039,0.01065567,0.00003369918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937404,0.0005975295,0.001955702,0.00006294996,0.000006628236,0.00002628157,0.0008403837,0.00001218492,0.002757941],"genre_scores_gemma":[0.9959255,0.0003615511,0.001742187,0.000003214828,0.000003052208,0.00001851128,0.0006422465,0.000007105861,0.001296607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01949605,"threshold_uncertainty_score":0.03876513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910799831310828,"score_gpt":0.3325217143762612,"score_spread":0.2934137160631529,"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."}}