{"id":"W2961740565","doi":"10.1073/pnas.1900506116","title":"Trophic control of cryptic coralline algal diversity","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Tula Foundation; University of British Columbia","funders":"Hakai Institute; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Ecology; Biodiversity; Trophic level; Biology; Keystone species; Coralline algae; Kelp forest; Ecosystem engineer; Trophic cascade; Ecosystem; Food web; Algae","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":[0.0001881419,0.0001749382,0.0001948832,0.0004751415,0.0003884029,0.0004786457,0.0001867473,0.0001853858,0.000956941],"category_scores_gemma":[0.0006566782,0.0001580168,0.0001480248,0.0002337522,0.000465759,0.0002872268,0.0006849431,0.0001895639,0.0001168669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004392023,"about_ca_system_score_gemma":0.0002209303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0086295,"about_ca_topic_score_gemma":0.02817954,"domain_scores_codex":[0.999841,0.00003302897,0.000009258288,0.00005566194,0.00002261497,0.00003833993],"domain_scores_gemma":[0.9994425,0.00008132525,0.0002272739,0.00005821695,0.00006973267,0.0001209466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003270947,0.00003087112,0.8063931,0.00006743998,0.00009938688,0.0001323609,0.001157384,0.0006522505,0.1774886,0.0004629072,0.0001367917,0.01305179],"study_design_scores_gemma":[0.000001721904,0.0000298407,0.9980559,0.000003474476,0.000007933775,0.00005062794,0.0002256899,0.0004518482,0.0009163095,0.0001204148,0.0001320436,0.000004091513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993487,0.00006362855,0.0001289235,0.000013613,7.662204e-7,9.303916e-7,0.0000349398,0.000003795543,0.0004048603],"genre_scores_gemma":[0.9997835,0.00002113764,0.00009144443,0.000007164045,6.187203e-7,8.382814e-7,0.00002383206,9.695527e-7,0.00007051999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0086295,"threshold_uncertainty_score":0.01715857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240834885500509,"score_gpt":0.2254752948787737,"score_spread":0.2013918063287228,"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."}}