{"id":"W1998065861","doi":"10.1007/s10706-013-9633-7","title":"Comparison of Building Damage Assessment Methods for Risk Analysis in Mining Subsidence Regions","year":2013,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Geotechnical and Mining Engineering","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Subsidence; Ground subsidence; Hazard; Identification (biology); Hydrogeology; Standard deviation; Hazard analysis; Environmental science; Computer science; Geology; Geotechnical engineering; Civil engineering; Structural engineering; Statistics; Engineering; Reliability engineering; Mathematics; Structural basin","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":[0.003341276,0.000665422,0.0008588421,0.003948155,0.0003203077,0.001165906,0.001029619,0.0006703211,0.002167127],"category_scores_gemma":[0.007440854,0.0003403163,0.0009100345,0.001361864,0.0002235497,0.001112645,0.0006921692,0.0004523713,0.0004393707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006806695,"about_ca_system_score_gemma":0.0005529459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006366644,"about_ca_topic_score_gemma":0.009049776,"domain_scores_codex":[0.9986566,0.0005030141,0.0001221946,0.0001022938,0.0005291792,0.00008669744],"domain_scores_gemma":[0.991932,0.005604172,0.0002913326,0.0003559202,0.001719798,0.00009675446],"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":[0.001291901,0.0003226611,0.05359534,0.0005442662,0.0005460572,0.0001108481,0.0006564996,0.3296992,0.008806,0.00419485,0.001327421,0.5989051],"study_design_scores_gemma":[0.00007457704,0.0003726275,0.05241087,0.00006822591,0.0001977604,0.0001902623,0.0003991696,0.9355237,0.006232777,0.002748471,0.001710473,0.0000710614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338439,0.002178248,0.3520251,0.0002046018,0.0000640935,0.0001866096,0.0008339036,0.001075949,0.009587606],"genre_scores_gemma":[0.9161003,0.0006161709,0.08074901,0.00002314268,0.00002124384,0.00007267226,0.0004439612,0.0001049337,0.001868683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006366644,"threshold_uncertainty_score":0.01767057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550764459367644,"score_gpt":0.337536728933839,"score_spread":0.3120290843401625,"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."}}