{"id":"W3127603970","doi":"10.1016/j.ecolind.2021.107427","title":"Effects of variability and synchrony in assessing contributions of individual streams to habitat portfolios of river basins","year":2021,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Washington; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Population; Habitat; Ecology; Ecosystem; Abundance (ecology); Watershed; Productivity; Portfolio; Stock (firearms); Environmental science; Geography; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02220222,0.0005234014,0.0004274967,0.001202157,0.0005436767,0.001433205,0.0006241775,0.0006060924,0.0002221826],"category_scores_gemma":[0.06200643,0.0003418872,0.0009799084,0.0007599787,0.001097779,0.002345514,0.001524647,0.000735269,0.00004164028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007507037,"about_ca_system_score_gemma":0.0006056773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004774773,"about_ca_topic_score_gemma":0.007330953,"domain_scores_codex":[0.9943967,0.003498005,0.0005132957,0.000820873,0.0005712123,0.0001999219],"domain_scores_gemma":[0.9005708,0.08682948,0.006690922,0.003434577,0.001594375,0.0008798637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007068975,0.00009464477,0.7816305,0.00005242426,0.0006334606,0.0001682525,0.0004461501,0.1842266,0.003772242,0.0007332147,0.00008889154,0.02744679],"study_design_scores_gemma":[0.00004905372,0.0009597574,0.4415111,0.00005712935,0.000444798,0.0002809544,0.0004947333,0.5435826,0.009262385,0.002867355,0.0003975089,0.00009275795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863461,0.0001278784,0.01282914,0.00004063953,0.000006983352,0.00002248081,0.00005636083,0.00003125817,0.0005392034],"genre_scores_gemma":[0.9968101,0.00002411652,0.003056142,0.000006733952,0.000004009375,0.000008190839,0.00004129766,0.000005764811,0.00004364981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02220222,"threshold_uncertainty_score":0.117418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005502827265596479,"score_gpt":0.2425826113299806,"score_spread":0.2370797840643841,"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."}}