{"id":"W4410064215","doi":"10.1038/s41598-025-98714-5","title":"Enhancing community resilience to ice-jam floods through individuals’ mitigation efforts","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Flood mitigation; Flood myth; Business; Incentive; Environmental planning; Flooding (psychology); Community resilience; Psychological intervention; Resilience (materials science); Psychological resilience; Environmental resource management; Damages; Risk analysis (engineering); Computer science; Psychology; Political science; Economics; Geography","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":[0.001066879,0.000190387,0.0001160246,0.0004656121,0.002228322,0.001027448,0.0005142681,0.0002897374,0.002679461],"category_scores_gemma":[0.002364864,0.00007409157,0.0002015004,0.0002798199,0.001010312,0.0005087812,0.001814876,0.0003741755,0.0001740162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974659,"about_ca_system_score_gemma":0.01112455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1518888,"about_ca_topic_score_gemma":0.4300031,"domain_scores_codex":[0.9995062,0.0002010356,0.000006402975,0.00003592502,0.00006639694,0.0001840469],"domain_scores_gemma":[0.9991709,0.0001425809,0.0001240045,0.00003827399,0.0001133732,0.0004108674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002501682,0.003130906,0.4043208,0.000436324,0.0002086352,0.0005444239,0.1069788,0.002754776,0.006151093,0.01258345,0.01122215,0.4514185],"study_design_scores_gemma":[0.0000531597,0.0007349977,0.7939567,0.0005001134,0.0001215637,0.0001535603,0.138753,0.002630043,0.001294996,0.005387406,0.05635646,0.00005812667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832834,0.000108417,0.0009067825,0.001963453,0.00001433101,0.00007143673,0.00003474755,0.00002025562,0.0135972],"genre_scores_gemma":[0.9974244,0.0001320391,0.00109959,0.0001048427,0.000003454428,0.000025899,0.00001538591,0.00000162281,0.00119277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1518888,"threshold_uncertainty_score":0.3020094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801266048215002,"score_gpt":0.323943307800424,"score_spread":0.305930647318274,"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."}}