{"id":"W4319785816","doi":"10.1002/wat2.1633","title":"People need freshwater biodiversity","year":2023,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Agencia Estatal de Investigación; Leibniz-Gemeinschaft; U.S. Geological Survey; Consortium of International Agricultural Research Centers; Ministerio de Ciencia e Innovación","keywords":"Biodiversity; Business; Environmental resource management; Environmental science; Freshwater ecosystem; Environmental planning; Earth science; Geology; Ecology; Ecosystem; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004803129,0.0001935665,0.0003087347,0.0000682602,0.0004841256,0.00002134604,0.0003534467,0.00006014085,0.01670447],"category_scores_gemma":[0.0000110638,0.0001189829,0.0001449011,0.0002456686,0.0001611198,0.0002570567,0.004556918,0.0001171053,0.1269154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006502755,"about_ca_system_score_gemma":7.999345e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002596821,"about_ca_topic_score_gemma":0.002563942,"domain_scores_codex":[0.9986616,0.00009066967,0.0002650788,0.0003881855,0.0001283295,0.000466102],"domain_scores_gemma":[0.9995336,0.00002016879,0.00004444044,0.0003312255,0.000004242739,0.00006634263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001327893,0.00003171906,0.114842,0.00003284463,0.00001998702,0.00002366871,0.002680162,0.00002620921,0.0002358004,0.000002132323,0.881485,0.0006072459],"study_design_scores_gemma":[0.0002571657,0.0001042938,0.1262612,0.00004511504,0.000053425,0.000005730069,0.00053514,0.00009200164,0.0003100818,0.001238184,0.8707843,0.0003133397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410918,0.0001129773,0.00003479016,0.01982574,0.0009187248,0.0008714501,0.00002575443,0.000321191,0.03679761],"genre_scores_gemma":[0.9084499,0.00563244,0.0005170444,0.007382935,0.0002618555,0.0005873073,0.0006577549,0.00005218268,0.07645857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102109,"threshold_uncertainty_score":0.9841944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005494100556847,"score_gpt":0.2562720542831897,"score_spread":0.2362171132776212,"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."}}