{"id":"W4399578751","doi":"10.1038/s44221-024-00257-y","title":"Moving from fit to fitness for governing water in the Anthropocene","year":2024,"lang":"en","type":"article","venue":"Nature Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Anthropocene; Environmental ethics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001743954,0.0005228886,0.0006533923,0.0005771302,0.0007053,0.001647613,0.0007443303,0.001463553,0.004404332],"category_scores_gemma":[0.009659152,0.0003109604,0.0004800972,0.0004506157,0.001959502,0.002706902,0.00170536,0.001649348,0.0002767557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294915,"about_ca_system_score_gemma":0.0007667636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005110261,"about_ca_topic_score_gemma":0.006851259,"domain_scores_codex":[0.9993201,0.0003989628,0.00002148184,0.0001082646,0.00006651442,0.00008474456],"domain_scores_gemma":[0.9986339,0.0008153698,0.0001175696,0.0001739525,0.0001196663,0.0001394238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001574789,0.0001354987,0.01776828,0.0001296397,0.0001866725,0.0001400086,0.0007331358,0.715637,0.001364863,0.1778888,0.002956327,0.0829022],"study_design_scores_gemma":[0.00002884743,0.0002068345,0.005119907,0.00006443897,0.00004112774,0.00009015773,0.0006695071,0.7544983,0.0004984159,0.2348788,0.003870134,0.00003352871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904166,0.001127433,0.275017,0.007601244,0.0001835581,0.00006212951,0.0001901428,0.000202914,0.02519905],"genre_scores_gemma":[0.9712087,0.0001821052,0.02537343,0.0002288256,0.00003454197,0.00003257012,0.00006087505,0.0001171718,0.002761849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005110261,"threshold_uncertainty_score":0.01473397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007401670481594774,"score_gpt":0.2266555789415051,"score_spread":0.2192539084599103,"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."}}