{"id":"W2947408962","doi":"10.1111/cobi.13348","title":"Effects of land use, cover, and protection on stream and riparian ecosystem services and biodiversity","year":2019,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Society of Canada; Royal Canadian Geographical Society; Royal Geographical Society; Parks Canada","keywords":"Ecosystem services; Biodiversity; Recreation; Watershed; Land use; Riparian zone; Land cover; Geography; Ecosystem; Intact forest landscape; Habitat; Agroforestry; Forest ecology; Environmental science; Environmental resource management; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008677022,0.00006862331,0.0001235295,0.00002428011,0.00005670027,0.00001698288,0.00003357504,0.00008059504,0.0000398364],"category_scores_gemma":[0.000005768977,0.00005223377,0.000007232936,0.00004693653,0.00001876922,0.0001580181,0.00006741526,0.0000299354,0.00005404704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000105365,"about_ca_system_score_gemma":0.000002072896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00268766,"about_ca_topic_score_gemma":0.001672284,"domain_scores_codex":[0.999556,0.00006064494,0.00008884538,0.0001849022,0.00003444957,0.00007514036],"domain_scores_gemma":[0.9997147,0.00009197203,0.00008559975,0.0000688652,0.00000682608,0.0000320007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004354267,0.00001244206,0.9939888,0.0002492346,0.000009924144,3.295237e-7,0.00008471747,0.000006365321,0.005239459,0.00002415865,0.00001438786,0.0003266979],"study_design_scores_gemma":[0.0006439766,0.0002415768,0.9917564,0.00004586566,0.00001268716,0.000004110056,0.00002556886,0.002013004,0.001696341,0.00006515083,0.003422645,0.00007263674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992352,0.00005166871,0.000005385095,0.0001720823,0.00007444514,0.00033023,0.00002225741,0.00001202339,0.0000967638],"genre_scores_gemma":[0.9996423,0.0000861039,0.0000174374,0.0002132461,0.000006154449,0.000004932983,0.00001053701,0.000001720339,0.00001755902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543118,"threshold_uncertainty_score":0.4062956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009148776988387933,"score_gpt":0.1819072134259101,"score_spread":0.1727584364375222,"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."}}