{"id":"W2078247130","doi":"10.1007/s00027-010-0159-2","title":"Contrasting effects of cross-ecosystem subsidies and predation on benthic invertebrates in two Pacific coastal streams","year":2010,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benthic zone; Invertebrate; Ecology; Biomass (ecology); Environmental science; STREAMS; Habitat; Subsidy; Ecosystem; Predation; Terrestrial ecosystem; Context (archaeology); Fishery; Plant litter; Biology","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":[0.0005001542,0.0003527931,0.0004536162,0.0007192875,0.001422027,0.0009661971,0.0003507365,0.0005798559,0.001222465],"category_scores_gemma":[0.001872404,0.0003916882,0.0002923105,0.0004957672,0.001013297,0.0004795826,0.001444763,0.0004233215,0.00007034095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789152,"about_ca_system_score_gemma":0.001214222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08123261,"about_ca_topic_score_gemma":0.2704547,"domain_scores_codex":[0.9997358,0.00006131775,0.00002056742,0.00005391816,0.0000463401,0.00008204393],"domain_scores_gemma":[0.998811,0.0002995702,0.0001948239,0.00003919805,0.0001628687,0.0004925468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001588208,0.0002844377,0.9824198,0.00003035794,0.0001320759,0.0004641084,0.001361793,0.0004378283,0.008081469,0.000162542,0.00008310522,0.004954209],"study_design_scores_gemma":[0.000008429247,0.00007404164,0.9986845,0.000003103409,0.00002305871,0.00005080138,0.0006893797,0.000249417,0.0001408949,0.00003013016,0.00004253513,0.00000373755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999032,0.000006883675,0.000005060783,0.000002696938,2.636189e-7,6.357703e-7,0.000005500028,2.509321e-7,0.00007543532],"genre_scores_gemma":[0.9997175,0.00001886443,0.00004127257,0.000007072415,6.667299e-7,0.000003304674,0.00003543963,7.44767e-7,0.0001749054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08123261,"threshold_uncertainty_score":0.1615196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009033538783248965,"score_gpt":0.2591651541165933,"score_spread":0.2501316153333443,"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."}}