{"id":"W4381163275","doi":"10.1139/er-2022-0116","title":"Future-proofing the emergency recovery plan for freshwater biodiversity","year":2023,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Leibniz-Gemeinschaft; U.S. Geological Survey; Nature Conservancy","keywords":"Biodiversity; Environmental resource management; Environmental planning; Climate change; Business; Freshwater ecosystem; Scale (ratio); Conservation Plan; Habitat; Environmental science; Ecology; Geography; Ecosystem; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006491845,0.0007848203,0.0002639888,0.0009058016,0.003650802,0.003856501,0.002015292,0.004087891,0.02630134],"category_scores_gemma":[0.009645643,0.0002525038,0.0007386102,0.0005770318,0.002484475,0.00510839,0.004864653,0.004203679,0.004357629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004108528,"about_ca_system_score_gemma":0.01592299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419824,"about_ca_topic_score_gemma":0.0244017,"domain_scores_codex":[0.9965338,0.001302946,0.0001575013,0.0002315132,0.001105686,0.0006686586],"domain_scores_gemma":[0.9951327,0.00130474,0.0003938705,0.0004369865,0.001792608,0.0009390621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001215965,0.0004699275,0.003367463,0.0008399483,0.00003308247,0.00309021,0.004458168,0.01650019,0.003526384,0.3316918,0.4137988,0.2221023],"study_design_scores_gemma":[0.00003813545,0.0001338188,0.001321229,0.0006747433,0.00001886294,0.000294177,0.004030265,0.004833591,0.001340185,0.05579299,0.9314447,0.00007727442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02252875,0.002618213,0.1408433,0.1715518,0.003712047,0.003440213,0.001706633,0.002534759,0.6510642],"genre_scores_gemma":[0.4465584,0.006298632,0.357235,0.03738532,0.0008716708,0.003442618,0.003761795,0.0004897204,0.1439569],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02630134,"threshold_uncertainty_score":0.08798677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664527412005218,"score_gpt":0.2272836287145702,"score_spread":0.200638354594518,"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."}}