{"id":"W4384663213","doi":"10.1111/gcb.16844","title":"Closing the gap between science and management of cold‐water refuges in rivers and streams","year":2023,"lang":"en","type":"review","venue":"Global Change Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada","funders":"National Socio-Environmental Synthesis Center","keywords":"Environmental resource management; Context (archaeology); Environmental science; Adaptive management; Climate change; Ecosystem services; Habitat; Ecosystem; Ecology; Business; Geography","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":[0.0189824,0.0006822427,0.001350907,0.003652534,0.003286988,0.01009212,0.003859845,0.004865078,0.003464928],"category_scores_gemma":[0.02233954,0.0004638996,0.001083132,0.003982274,0.01774477,0.01563508,0.01067866,0.005814119,0.0003991244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008637552,"about_ca_system_score_gemma":0.04569271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085172,"about_ca_topic_score_gemma":0.04971542,"domain_scores_codex":[0.9899848,0.006020859,0.0007217666,0.001038347,0.001341212,0.0008930256],"domain_scores_gemma":[0.9733087,0.01473737,0.003439883,0.001595188,0.004507246,0.002411631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001322122,0.0003081457,0.02539523,0.008543426,0.0002379851,0.000515236,0.01946915,0.01346519,0.00141377,0.2889484,0.03211982,0.6094514],"study_design_scores_gemma":[0.00005763066,0.0002540038,0.02270658,0.02175921,0.0002450083,0.0002519948,0.04417794,0.00834229,0.001427362,0.497456,0.4030337,0.0002884153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0517634,0.2758043,0.06665876,0.5613344,0.00263707,0.0003218452,0.0005511618,0.0002807227,0.04064838],"genre_scores_gemma":[0.641309,0.2577334,0.07039782,0.02530241,0.002079374,0.0004947059,0.0003630394,0.0001166908,0.002203484],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03085172,"threshold_uncertainty_score":0.1003897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1177741187807933,"score_gpt":0.3469664107486656,"score_spread":0.2291922919678723,"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."}}