{"id":"W4407277345","doi":"10.1007/s40710-025-00749-3","title":"Perceptions and Attitudes of Drinking Water Supply Systems Staff Towards Climate Change Adaptation for Drinking Water Quality Management","year":2025,"lang":"en","type":"article","venue":"Environmental Processes","topic":"Water resources management and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Water quality; Climate change; Water supply; Perception; Quality (philosophy); Climate change adaptation; Business; Environmental resource management; Environmental science; Water resource management; Psychology; Environmental engineering; Ecology","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":[0.006280181,0.0002249457,0.0001959174,0.0008651962,0.002545835,0.002360661,0.0003571837,0.0009654294,0.003437165],"category_scores_gemma":[0.01798325,0.000353238,0.0004116583,0.0004917791,0.00198707,0.0007709052,0.001448159,0.00152401,0.0004703785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201156,"about_ca_system_score_gemma":0.002830417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667184,"about_ca_topic_score_gemma":0.02335093,"domain_scores_codex":[0.9961176,0.001776377,0.0002464444,0.0001464952,0.0008562083,0.0008569304],"domain_scores_gemma":[0.9749612,0.008277078,0.004969632,0.0003926469,0.004421077,0.006978379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006916017,0.001047416,0.7867432,0.000164145,0.0001048224,0.0005812744,0.1833261,0.0004529566,0.004771785,0.0004874381,0.001752459,0.01987685],"study_design_scores_gemma":[0.00004515775,0.0008035057,0.4217363,0.0001370485,0.00004610966,0.0002982285,0.5707322,0.0005457305,0.001001714,0.000252142,0.004343999,0.00005792042],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976969,0.00004966148,0.00009128109,0.0005481958,0.00002175929,0.00001128802,0.00001497171,0.000001981611,0.001564018],"genre_scores_gemma":[0.9985083,0.0001099478,0.00009432917,0.0004658515,0.0000156876,0.00001231711,0.0000165312,0.000002116129,0.000774848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667184,"threshold_uncertainty_score":0.0332132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885892391516203,"score_gpt":0.2338797996643774,"score_spread":0.2150208757492154,"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."}}