{"id":"W4402579194","doi":"10.1108/jhlscm-03-2023-0024","title":"Defining performance and competency requirements for army responders to domestic flood response operations","year":2024,"lang":"en","type":"article","venue":"Journal of Humanitarian Logistics and Supply Chain Management","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Flood myth; Grey literature; First responder; Psychology; Computer science; Applied psychology; Knowledge management; Engineering; Political science; Geography; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01330632,0.0005197862,0.0004204141,0.003455819,0.002009566,0.003332417,0.001103477,0.001152789,0.002439796],"category_scores_gemma":[0.0459461,0.0002557308,0.0004430658,0.001492805,0.002833634,0.002839751,0.002775626,0.0009873628,0.0004467606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005536684,"about_ca_system_score_gemma":0.01978596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215179,"about_ca_topic_score_gemma":0.04286033,"domain_scores_codex":[0.9915068,0.003612066,0.001147877,0.0003451993,0.002492368,0.0008956452],"domain_scores_gemma":[0.9598562,0.02310144,0.004918652,0.0008229426,0.009506237,0.001794675],"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":[0.0003623359,0.0007399263,0.2607201,0.01158301,0.0001298417,0.002373835,0.1946365,0.006638355,0.01066431,0.04813053,0.009120525,0.4549007],"study_design_scores_gemma":[0.00003907681,0.0008996208,0.5672013,0.008167736,0.000103886,0.001979552,0.3489354,0.006029712,0.007622437,0.01665602,0.04216902,0.0001963331],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053857,0.002512054,0.01941093,0.00558331,0.00007979597,0.001052698,0.000487112,0.00008199377,0.06540635],"genre_scores_gemma":[0.985256,0.0010192,0.01180499,0.0001940358,0.00001563391,0.0004310088,0.0002468326,0.000009600649,0.001022806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02215179,"threshold_uncertainty_score":0.07037139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520517573818892,"score_gpt":0.3153047259983175,"score_spread":0.2900995502601286,"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."}}