{"id":"W2787125690","doi":"10.7717/peerj.4890","title":"Predicting New Zealand riverine fish reference assemblages","year":2018,"lang":"en","type":"article","venue":"PeerJ","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Biomonitoring; Riparian zone; Environmental science; Fish <Actinopterygii>; Freshwater fish; Ecology; Freshwater ecosystem; River ecosystem; Ecoregion; Ecosystem; Fishery; Biology; Habitat","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":[0.0009064017,0.0005382301,0.0003390397,0.001389789,0.0004259016,0.0006418518,0.0007148079,0.0003696774,0.002855969],"category_scores_gemma":[0.003074195,0.0003983883,0.0005389816,0.000853529,0.0002744528,0.0008594372,0.000599124,0.0002958617,0.0008662253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232535,"about_ca_system_score_gemma":0.0008413246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2032093,"about_ca_topic_score_gemma":0.2953413,"domain_scores_codex":[0.999669,0.00005677475,0.00002178397,0.0001388889,0.00007451528,0.00003904886],"domain_scores_gemma":[0.9992435,0.0001183196,0.0001817828,0.00008488154,0.0003106982,0.00006092637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000197507,0.00007532547,0.7652345,0.0001071801,0.0002204647,0.0002016479,0.000566624,0.1328031,0.007012832,0.0006935825,0.00278074,0.09010653],"study_design_scores_gemma":[0.00003622376,0.0001789614,0.644056,0.00004143204,0.00006889142,0.00009836971,0.000722426,0.3477915,0.001765765,0.00107581,0.004123283,0.0000413067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977143,0.0001055998,0.01670825,0.00007307401,0.000007004131,0.00007418866,0.002420832,0.0002953492,0.003172694],"genre_scores_gemma":[0.9711062,0.0001526749,0.02200848,0.00001859072,0.000003260753,0.00009073535,0.004710517,0.0000553003,0.001854164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2032093,"threshold_uncertainty_score":0.4040529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639037202655032,"score_gpt":0.2406864774880286,"score_spread":0.2242961054614782,"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."}}