{"id":"W3088505753","doi":"10.1111/fwb.13616","title":"Ecological correlates of riverine diatom and macroinvertebrate alpha and beta diversity across Arctic Fennoscandia","year":2020,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Norsk Institutt for Vannforskning; Ulkoministeriö","keywords":"Beta diversity; Ecology; Diatom; Arctic; Alpha diversity; Invertebrate; BETA (programming language); Zooplankton; Geography; Biology; Species diversity; Environmental science; Biodiversity","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":[0.0004540283,0.000240776,0.0002840393,0.00152527,0.0006668421,0.0007042439,0.0002244427,0.0001836905,0.0009636759],"category_scores_gemma":[0.0008137965,0.0001628095,0.0001820702,0.00119201,0.0003681195,0.0002103066,0.0003918854,0.0001571939,0.0001316671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005854607,"about_ca_system_score_gemma":0.0004985886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1297692,"about_ca_topic_score_gemma":0.2369293,"domain_scores_codex":[0.9997521,0.00005828265,0.00001983236,0.00008081734,0.00003656136,0.00005243951],"domain_scores_gemma":[0.9991697,0.0001749737,0.0001792529,0.00003734193,0.0002902182,0.0001484607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007040261,0.00001133133,0.9946472,0.00001380227,0.00007233637,0.00003410229,0.0005445838,0.0002786207,0.001033964,0.00003214806,0.0001304223,0.003131007],"study_design_scores_gemma":[5.578906e-7,0.000004240253,0.9995025,0.000003329768,0.000004009838,0.00001086438,0.0002578966,0.0001266153,0.00001932735,0.000006122022,0.00006325148,0.000001212922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993384,0.00006688266,0.00003116762,0.00000517743,0.00000111529,8.306014e-7,0.0002083128,0.000001556974,0.0003465944],"genre_scores_gemma":[0.9995713,0.00003385521,0.00005160575,0.000003114966,0.000001226761,0.000002147186,0.0002347569,0.000001010925,0.0001011031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1297692,"threshold_uncertainty_score":0.2580277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731086476532559,"score_gpt":0.2297656025725298,"score_spread":0.2124547378072042,"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."}}