{"id":"W3015168081","doi":"10.1002/ecy.3060","title":"Relationships between Pacific salmon and aquatic and terrestrial ecosystems: implications for ecosystem‐based management","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Raincoast Conservation Foundation; Simon Fraser University","funders":"Hakai Institute; Natural Sciences and Engineering Research Council of Canada; Pacific Salmon Foundation","keywords":"Ecosystem; Ecology; Marine ecosystem; Biomass (ecology); Primary producers; Abundance (ecology); Terrestrial ecosystem; Environmental science; Food web; Freshwater ecosystem; Invertebrate; Biological dispersal; Aquatic ecosystem; Biology; Nutrient; Fishery; Phytoplankton","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007413108,0.0003431872,0.000522428,0.001808648,0.0004955985,0.002358789,0.0006440458,0.0004191881,0.001665412],"category_scores_gemma":[0.01169228,0.0002378676,0.0004887734,0.00282339,0.0008556703,0.001868316,0.001052293,0.0007458928,0.00006940903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138878,"about_ca_system_score_gemma":0.00271795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001718,"about_ca_topic_score_gemma":0.03453797,"domain_scores_codex":[0.9985785,0.0008908333,0.0001553363,0.0001420185,0.0001578841,0.00007538606],"domain_scores_gemma":[0.9910195,0.004982567,0.001790664,0.0002228966,0.001467821,0.0005165223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009907009,0.0001105619,0.8214948,0.002178735,0.001196488,0.0001027413,0.000432141,0.00491769,0.0005847737,0.002241568,0.001907175,0.1647342],"study_design_scores_gemma":[0.0000135768,0.0002185073,0.9777295,0.001810947,0.0004380295,0.00007839929,0.002107145,0.005639734,0.0002527268,0.00731569,0.004358862,0.00003677919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7075089,0.2281684,0.01066824,0.031533,0.0002532623,0.0002262806,0.003074059,0.0001410636,0.01842667],"genre_scores_gemma":[0.9724878,0.02175394,0.004047999,0.0007739484,0.0001490554,0.00005067236,0.0004093701,0.000006707439,0.0003204058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001718,"threshold_uncertainty_score":0.0398013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794269602175195,"score_gpt":0.2426518319785818,"score_spread":0.2047091359568299,"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."}}