{"id":"W4251231490","doi":"10.7287/peerj.preprints.26603","title":"Cumulative impacts of anthropogenic stressors on macrobenthic communities at a bay-scale: an experimental approach","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université Laval","funders":"","keywords":"Benthic zone; Bay; Environmental science; Invertebrate; Cumulative effects; Fishery; Stressor; Fishing; Dredging; Ecology; Geography; Oceanography; Eutrophication; Marine spatial planning; Environmental resource management; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00154847,0.001029212,0.000936179,0.0009611603,0.001184217,0.001092447,0.001798384,0.001335272,0.004462923],"category_scores_gemma":[0.001531844,0.0006597115,0.001130527,0.0006993405,0.002277092,0.00114082,0.002102815,0.002806618,0.0004925435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258779,"about_ca_system_score_gemma":0.001426364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004699815,"about_ca_topic_score_gemma":0.006188897,"domain_scores_codex":[0.9984443,0.0003087891,0.0001723408,0.0005507077,0.0002559429,0.0002680251],"domain_scores_gemma":[0.9966961,0.000597956,0.0007225345,0.001050055,0.0003152461,0.00061812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02618577,0.1415464,0.03968007,0.0005467503,0.0003866403,0.0005283857,0.002424151,0.002606435,0.761502,0.001467232,0.0005720061,0.02255427],"study_design_scores_gemma":[0.007251214,0.5337042,0.2400376,0.00008609518,0.001021687,0.0003101847,0.003406053,0.01194013,0.1916729,0.003579824,0.006726704,0.0002635729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967018,0.00004025629,0.000960867,0.00004452605,0.00004641449,0.00105405,0.0002529778,0.00002696763,0.0008720763],"genre_scores_gemma":[0.9541112,0.0003618484,0.01840626,0.0004809354,0.0001552148,0.01399627,0.001258578,0.00006476212,0.01116482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699815,"threshold_uncertainty_score":0.01493001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06416169410565654,"score_gpt":0.3310138427926719,"score_spread":0.2668521486870153,"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."}}