{"id":"W4416365903","doi":"10.1371/journal.pwat.0000460","title":"Human dimensions in water crisis management: Gender bias in water manager appraisals and implications for water decision-making","year":2025,"lang":"en","type":"article","venue":"PLOS Water","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; University of Waterloo","funders":"Social Sciences and Humanities Research Council","keywords":"Moderation; Harm; Mortality salience; Human resource management; Anxiety; Distancing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01020296,0.000372721,0.0003192925,0.0008198876,0.001772881,0.003312761,0.0005157743,0.000756864,0.005393408],"category_scores_gemma":[0.03126013,0.0002561573,0.0004628722,0.0005213005,0.003665409,0.002177564,0.002356605,0.001377855,0.0003222177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686487,"about_ca_system_score_gemma":0.001943321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005481473,"about_ca_topic_score_gemma":0.007873439,"domain_scores_codex":[0.9924825,0.004822747,0.0002690627,0.0006149993,0.001223401,0.0005873333],"domain_scores_gemma":[0.9715915,0.01799097,0.004733797,0.001232743,0.002766959,0.001683973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001436504,0.0008224736,0.4699201,0.0008511866,0.0001977027,0.0004867289,0.4111935,0.0004773472,0.006773867,0.007267512,0.002847435,0.09772567],"study_design_scores_gemma":[0.00006981744,0.0005561824,0.6922183,0.0004700235,0.00009101934,0.0002301212,0.2810987,0.001327243,0.002180231,0.01216186,0.009459173,0.0001373923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854219,0.0005987899,0.001999014,0.002221512,0.0001300247,0.00007546625,0.0000541145,0.000008135165,0.009490953],"genre_scores_gemma":[0.9982852,0.000136014,0.0005040579,0.0003830456,0.00003131418,0.00004386353,0.00001820196,0.00000760817,0.0005905991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020296,"threshold_uncertainty_score":0.05395907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3900753659477391,"score_gpt":0.4717452232680598,"score_spread":0.08166985732032073,"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."}}