{"id":"W2752397870","doi":"","title":"Resiliency and reconstruction – Three case studies on recovering from a natural disaster","year":2014,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Natural disaster; Computer science; History; Geography; Archaeology; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234539,0.0001166594,0.0001469649,0.000170394,0.000689568,0.00007024588,0.0001789406,0.00005301025,0.00004549752],"category_scores_gemma":[0.0001427773,0.0001128029,0.00004317707,0.000286583,0.0004002693,0.0005471095,0.0001319862,0.0001173341,0.00003620196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009896994,"about_ca_system_score_gemma":0.00002080178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135149,"about_ca_topic_score_gemma":0.0143813,"domain_scores_codex":[0.9989783,0.000155434,0.0001067577,0.0003421089,0.0001806964,0.0002367024],"domain_scores_gemma":[0.9993864,0.0002157152,0.00008422108,0.0001732106,0.00004708973,0.00009330498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004519667,0.0001415951,0.0536219,0.0001006684,0.0003330497,0.001681332,0.07528847,0.0001188329,0.0002734396,0.3657565,0.002258634,0.4999736],"study_design_scores_gemma":[0.004485321,0.0008914251,0.02454153,0.0009075262,0.0005077288,0.0001655894,0.558773,0.002213086,0.0002155768,0.04113802,0.3637718,0.00238933],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143764,0.00007752967,0.00009531895,0.000359027,0.0008461846,0.0001381646,0.00000268805,0.00006997706,0.08403474],"genre_scores_gemma":[0.9901593,0.0001671483,0.0002774374,0.00008810969,0.0001628926,4.465697e-7,0.000001115015,0.000006114408,0.009137411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4975843,"threshold_uncertainty_score":0.8025104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026564746450814,"score_gpt":0.2589727921016535,"score_spread":0.2387071446371454,"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."}}