{"id":"W3087564817","doi":"10.1038/s41598-020-72349-0","title":"Biogeochemical water type influences community composition, species richness, and biomass in megadiverse Amazonian fish assemblages","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Floodplain; Species richness; Biogeochemical cycle; Ecology; Environmental science; Amazonian; Biogeochemistry; Biodiversity; Habitat; Biology; Amazon rainforest","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":[0.0003108122,0.0001375339,0.0001666882,0.000698954,0.0003438949,0.0004004095,0.000222494,0.0001459864,0.000797426],"category_scores_gemma":[0.001270783,0.0002137944,0.0001449728,0.0005317909,0.0006019727,0.0003936623,0.0005061715,0.0001047491,0.00008998112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543294,"about_ca_system_score_gemma":0.0001963675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291787,"about_ca_topic_score_gemma":0.06015049,"domain_scores_codex":[0.9997961,0.00005952305,0.00001575036,0.00005177487,0.00003325188,0.00004363609],"domain_scores_gemma":[0.9992674,0.0002068759,0.0002898422,0.00003888997,0.00008192231,0.0001151001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000372278,0.000008720294,0.9929535,0.00001085,0.00002584113,0.00003874831,0.0006496832,0.00005998566,0.003985644,0.00003397049,0.0000174369,0.002178462],"study_design_scores_gemma":[0.000001730663,0.00001472495,0.9992735,0.000002026467,0.000005853874,0.00003386969,0.0002790237,0.000232917,0.00009334855,0.00002225323,0.00003941725,0.000001443185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998583,0.00002450477,0.00002264385,0.000006181677,1.756534e-7,8.692328e-7,0.00001884304,7.69975e-7,0.00006777202],"genre_scores_gemma":[0.9998606,0.00002321647,0.00004943649,0.000004122488,7.212845e-7,0.000001799718,0.00002298131,7.19071e-7,0.0000364092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02291787,"threshold_uncertainty_score":0.04556894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663815893481631,"score_gpt":0.2435946856847788,"score_spread":0.2169565267499625,"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."}}