{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959933,0.0001028307,0.0001868254,0.00003402149,0.0003806142,0.00001590731,0.00009093784,0.00008134502,0.00006180748],"category_scores_gemma":[0.00009209487,0.0001019303,0.00002209311,0.0000900702,0.00008407997,0.00007166318,0.000146906,0.00007473565,0.0000919859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004825501,"about_ca_system_score_gemma":0.000003271046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005966433,"about_ca_topic_score_gemma":0.001837222,"domain_scores_codex":[0.9991027,0.0001140474,0.0002202893,0.0003305022,0.00003808559,0.0001944084],"domain_scores_gemma":[0.9993129,0.000399968,0.00008985673,0.0001133406,0.00000151967,0.00008236359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001651936,0.00001700925,0.9760088,0.00004975996,0.00005051305,0.000001053047,0.000133587,0.00002685748,0.000007252001,0.0007483781,0.02232013,0.000620097],"study_design_scores_gemma":[0.0008436168,0.0001835973,0.9650524,0.000004886323,0.0001029878,8.230398e-7,0.0002341972,0.002332574,0.000003128396,0.001982486,0.02914551,0.0001137445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278046,0.000032716,0.006096436,0.05102472,0.0002277738,0.002632524,0.00004853285,0.000113383,0.01201924],"genre_scores_gemma":[0.9978324,0.00002100269,0.001190811,0.0003625026,0.00005608581,0.0003707308,0.00003058526,0.000008842314,0.0001270895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07002767,"threshold_uncertainty_score":0.4156596,"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."}}