{"id":"W4328049650","doi":"10.1111/gcb.16689","title":"Addressing chemical pollution in biodiversity research","year":2023,"lang":"en","type":"review","venue":"Global Change Biology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ministry of the Environment, Conservation and Parks","funders":"Norges Forskningsråd; Department of Forestry and Natural Resources, Purdue University; Vetenskapsrådet; Fonds National de la Recherche Luxembourg; Stiftelsen för Miljöstrategisk Forskning; Svenska Forskningsrådet Formas; European Commission","keywords":"Biodiversity; Pollution; Climate change; Environmental resource management; Ecosystem; Environmental planning; Environmental science; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143696,0.001099677,0.001614253,0.003764028,0.0005434326,0.002056649,0.001169852,0.002095022,0.004496958],"category_scores_gemma":[0.001545701,0.0003460267,0.0008667574,0.004045243,0.001018093,0.003089918,0.001446008,0.002768849,0.001678521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381584,"about_ca_system_score_gemma":0.003093856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990059,"about_ca_topic_score_gemma":0.003803246,"domain_scores_codex":[0.9994413,0.0001269535,0.00006265017,0.00008097041,0.0002203739,0.00006763086],"domain_scores_gemma":[0.99903,0.000544382,0.0001056321,0.0000353706,0.0002133551,0.00007137103],"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":[0.00004748617,0.0001055071,0.0001996607,0.04566428,0.0001742919,0.0001799954,0.0001598657,0.0005649258,0.00233913,0.01706667,0.03375655,0.8997417],"study_design_scores_gemma":[0.000008330852,0.00005617035,0.0005035945,0.00856274,0.0001203371,0.0003498662,0.00009183697,0.0000837331,0.0003671875,0.005056302,0.9847861,0.00001374361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007398889,0.9980214,0.00012637,0.0004642613,0.0003143483,0.000003963546,0.000009291741,0.000005647842,0.000980721],"genre_scores_gemma":[0.0005715145,0.9984054,0.0001527048,0.0003197225,0.000181578,0.000004869707,0.00001425917,0.000001223171,0.0003486903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004496958,"threshold_uncertainty_score":0.01504385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6846530746099597,"score_gpt":0.5254780319722374,"score_spread":0.1591750426377223,"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."}}