{"id":"W2307614369","doi":"10.1002/hyp.10853","title":"Ice‐jam flood risk assessment and mapping","year":2016,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Environmental science; Hydrology (agriculture); Flooding (psychology); Flood risk assessment; 100-year flood; Return period; Risk assessment; Hazard analysis; Flood stage; Geology; Geography; Engineering; Geotechnical engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002591345,0.0001317513,0.0001590713,0.000032199,0.0002387454,0.00004181254,0.0001436016,0.00008234938,0.001536748],"category_scores_gemma":[0.0002620115,0.00006677765,0.00002501217,0.000132238,0.0002158952,0.0002329418,0.00002727727,0.0001264913,0.0001198267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003764091,"about_ca_system_score_gemma":0.0000535364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000972149,"about_ca_topic_score_gemma":0.00009390146,"domain_scores_codex":[0.9989926,0.00005795237,0.0001663672,0.0003063729,0.000174152,0.0003026104],"domain_scores_gemma":[0.9991499,0.0004962726,0.00008338608,0.0001023928,0.00004232388,0.0001257007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001655575,0.00001992797,0.9276592,0.0000388405,0.00001473031,0.0000140387,0.00005925863,0.00004844821,0.00002236878,0.0001015081,0.00005009545,0.07195509],"study_design_scores_gemma":[0.0004534336,0.0003247299,0.96646,0.00004304797,0.00002835173,0.00005241999,0.0001409664,0.004566405,0.00001751165,0.02157332,0.006087867,0.0002519033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98114,0.0002890313,0.007905513,0.001704029,0.00008106252,0.0001014036,0.00004309598,0.00008969878,0.008646158],"genre_scores_gemma":[0.9954733,0.001286371,0.00247589,0.0004970532,0.00009734243,0.000001918982,0.00001007827,0.00000248114,0.0001555796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07170319,"threshold_uncertainty_score":0.999376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668506470013677,"score_gpt":0.2271416532042916,"score_spread":0.2104565885041548,"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."}}