{"id":"W4407986163","doi":"10.1002/aqc.70094","title":"Mapping the Global Impact of Mining Activities on Freshwater Biodiversity to Inform Conservation Priorities","year":2025,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiversity; Biodiversity conservation; Environmental resource management; Geography; Aquatic biodiversity research; Conservation biology; Nature Conservation; Environmental planning; Ecology; Fishery; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003309207,0.0001404833,0.0002421736,0.0000347967,0.0004133581,0.00004675994,0.0001359756,0.00009238452,0.0001472796],"category_scores_gemma":[0.0001046686,0.00005335411,0.00006775281,0.0003369547,0.0001142372,0.0001129091,0.0001834646,0.00006148015,0.00001185439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006195785,"about_ca_system_score_gemma":0.00002108688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03996141,"about_ca_topic_score_gemma":0.5628566,"domain_scores_codex":[0.9991679,0.00008583818,0.0002924764,0.00017765,0.00008381762,0.0001923718],"domain_scores_gemma":[0.9992245,0.0004929316,0.000115414,0.00006976105,0.00006727859,0.00003015518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007850321,0.0000160852,0.9823526,0.00002415143,0.0001117207,6.562471e-7,0.0004257552,0.000002478452,0.0005538015,0.0002373022,0.01390467,0.002292345],"study_design_scores_gemma":[0.0002608628,0.0003625566,0.96287,0.0000626945,0.00002310037,0.00000303554,0.002622837,0.002603684,0.0002488383,0.0006065111,0.03019555,0.0001403227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852429,0.00002594821,0.00000575613,0.01330951,0.0001641358,0.0003233737,0.0001417208,0.00002854816,0.0007580887],"genre_scores_gemma":[0.9972911,0.0000164359,0.00004518417,0.00210142,0.00003315696,0.00002782999,0.0000970501,3.671324e-7,0.0003874352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5228951,"threshold_uncertainty_score":0.9664316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147777576643395,"score_gpt":0.236755476587064,"score_spread":0.20527770082063,"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."}}