{"id":"W2938916722","doi":"10.29173/mocs47","title":"Construction Capacity and New Housing Demand Caused by Tornados","year":2018,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Tornado; Damages; Procurement; Census; Construction industry; Business; Geography; Engineering; Construction engineering; Meteorology; Population; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003966158,0.0002971466,0.0004925253,0.0002677584,0.0005066367,0.0004313592,0.0001074599,0.000255771,0.0001643058],"category_scores_gemma":[0.00006992321,0.0003691173,0.0000722207,0.0002244848,0.0006374025,0.0008613586,0.00007749551,0.0002087314,0.00004704339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190402,"about_ca_system_score_gemma":0.00002615053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003705496,"about_ca_topic_score_gemma":0.00007220797,"domain_scores_codex":[0.9982121,0.000007322898,0.0005914617,0.0007249251,0.00005336313,0.0004108501],"domain_scores_gemma":[0.9990656,0.00001773748,0.0003946722,0.0001456571,0.00009918112,0.000277125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001159366,0.00004272531,0.8506754,0.0001625953,0.0001727343,0.000001822292,0.00120195,0.000003423163,0.002956431,0.05277154,0.006309933,0.0855855],"study_design_scores_gemma":[0.01227581,0.001031036,0.09534419,0.0004291584,0.0003435578,0.0006475835,0.003942371,0.03597369,0.02242443,0.1504239,0.6718618,0.005302468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812353,0.0005243494,0.006750753,0.0003443472,0.0008704485,0.0002248253,0.00004616854,0.0001169488,0.009886814],"genre_scores_gemma":[0.9906888,0.0007306909,0.007498751,0.0001792588,0.0005564157,0.000006205705,0.00001103793,0.00004352927,0.0002853308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7553312,"threshold_uncertainty_score":0.9998761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250196875849504,"score_gpt":0.1907671369066999,"score_spread":0.1682651681482049,"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."}}