{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145245,0.0002565272,0.0007356892,0.0003499237,0.00004335442,0.0000270026,0.0002339977,0.0002794054,0.00002879302],"category_scores_gemma":[0.0004885375,0.0002270251,0.0001704648,0.0008467961,0.0000628538,0.0001156959,0.0001316952,0.0005042956,6.333605e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003743238,"about_ca_system_score_gemma":0.000005596124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005695874,"about_ca_topic_score_gemma":0.000005939155,"domain_scores_codex":[0.998405,0.00003278611,0.0006372083,0.0003294495,0.0001141024,0.0004814424],"domain_scores_gemma":[0.9984931,0.0009915131,0.00006702152,0.0002573266,0.00004344334,0.000147611],"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":[0.000002146958,0.00002874684,0.004861802,0.00008610261,0.00008611197,0.000001150155,0.0000312889,0.9704304,0.01405221,0.001464396,0.00001584125,0.008939822],"study_design_scores_gemma":[0.0001970062,0.00007757736,0.08742643,0.00005117156,0.0001112656,0.000002109117,0.00003470478,0.9095634,0.001303822,0.0006964811,0.0002815237,0.0002545561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4239107,0.0003230834,0.5751714,0.00004134561,0.00004185533,0.0002034117,0.000003104593,0.0002730647,0.00003202945],"genre_scores_gemma":[0.7280471,0.00006443119,0.2716841,0.000004997571,0.00001718282,0.000154317,0.000004744038,0.00001649664,0.000006559132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3041364,"threshold_uncertainty_score":0.9257813,"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."}}