{"id":"W1977828535","doi":"10.1016/j.ecoser.2015.02.002","title":"Evaluating changes in marine communities that provide ecosystem services through comparative assessments of community indicators","year":2015,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography; University of British Columbia","funders":"Instituto Español de Oceanografía; Natural Environment Research Council; Department of Science and Technology, Ministry of Science and Technology, India; National Research Foundation; University of British Columbia; Haridus- ja Teadusministeerium; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; Department of Science and Technology, Republic of South Africa; Pew Charitable Trusts","keywords":"Provisioning; Ecosystem; Ecosystem services; Marine ecosystem; Environmental resource management; Context (archaeology); Trophic level; Ecology; Population; Geography; Ecosystem-based management; Environmental science; Biology; Computer science","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":[0.008581046,0.0006456129,0.0004759395,0.006039187,0.0006596904,0.001426719,0.0007740138,0.0007434648,0.0008630353],"category_scores_gemma":[0.02486864,0.0001687258,0.0006102558,0.00580202,0.0007392876,0.002924067,0.001689829,0.0005479343,0.0001125855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335496,"about_ca_system_score_gemma":0.001604725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694652,"about_ca_topic_score_gemma":0.03813786,"domain_scores_codex":[0.994454,0.002627842,0.0003378984,0.0005789536,0.00174234,0.0002590972],"domain_scores_gemma":[0.9850233,0.005188054,0.00501865,0.0009523614,0.003166492,0.0006511621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005794569,0.0002628964,0.9427049,0.000160168,0.001042838,0.00004711086,0.0006580114,0.004730483,0.00476133,0.00135581,0.000392584,0.0433045],"study_design_scores_gemma":[0.00002395995,0.0008912844,0.9780448,0.00005626425,0.0004379232,0.0001248244,0.001923982,0.01164062,0.003245774,0.002234058,0.001343214,0.00003328492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909381,0.0004732263,0.004792669,0.0001063453,0.00001563466,0.00006030639,0.0009348131,0.00002241666,0.002656504],"genre_scores_gemma":[0.9937556,0.0001891308,0.005247311,0.00002183967,0.000009181164,0.0000468357,0.0005641956,0.000004967929,0.0001608471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694652,"threshold_uncertainty_score":0.04538143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589735289899767,"score_gpt":0.3827480731393825,"score_spread":0.2237745441494058,"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."}}