{"id":"W2901054206","doi":"10.1111/risa.13244","title":"Interdisciplinary Research as an Iterative Process to Build Disaster Systems Knowledge","year":2018,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"National Science Foundation","keywords":"Process (computing); Discipline; Disaster risk reduction; Natural disaster; Computer science; Knowledge management; Engineering ethics; Management science; Data science; Risk analysis (engineering); Engineering; Sociology; Environmental resource management; Geography; Business; Social science; Environmental science","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":[0.09941488,0.001651116,0.001364066,0.00860037,0.01378745,0.01829785,0.005758079,0.005094187,0.006980964],"category_scores_gemma":[0.07990695,0.001512132,0.002566329,0.006106547,0.03558969,0.02294063,0.0294922,0.007580154,0.002096585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009465287,"about_ca_system_score_gemma":0.02779876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296089,"about_ca_topic_score_gemma":0.004498907,"domain_scores_codex":[0.8811728,0.09963383,0.002980245,0.004810852,0.009307473,0.002094955],"domain_scores_gemma":[0.8569535,0.1021484,0.004771816,0.01940811,0.01194231,0.004775827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006970715,0.0005119195,0.00449942,0.001074355,0.0001635422,0.001182085,0.3054963,0.002824967,0.001792664,0.5801169,0.004068651,0.09819956],"study_design_scores_gemma":[0.0000818449,0.0002111115,0.001519458,0.002013677,0.00008837998,0.0005496246,0.129713,0.00423809,0.00147486,0.723544,0.1364558,0.0001101988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06115922,0.003098166,0.7835107,0.02782802,0.0005648134,0.005534742,0.0001163998,0.0006258835,0.1175621],"genre_scores_gemma":[0.3622745,0.001527898,0.6217779,0.00184125,0.0001471982,0.003838394,0.0001596864,0.0002006273,0.008232647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09941488,"threshold_uncertainty_score":0.5257624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458948925722354,"score_gpt":0.4852579191299489,"score_spread":0.4393630265577135,"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."}}