{"id":"W2082748385","doi":"10.3354/meps317029","title":"Effects of physical ecosystem engineering and herbivory on intertidal community structure","year":2006,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Ecosystem engineer; Intertidal zone; Ecology; Herbivore; Foundation species; Ecosystem; Barnacle; Littorina; Biology; Species richness; Abundance (ecology); Community structure; Competition (biology); Gastropoda; Crustacean","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006719177,0.0001391822,0.000255648,0.00005728269,0.00008414036,0.00001515328,0.0001273192,0.00008250188,0.00006909492],"category_scores_gemma":[0.00001986946,0.0001075434,0.00002852094,0.0000587715,0.0001266719,0.00007727686,0.00009543262,0.0002361098,0.000004721579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002417437,"about_ca_system_score_gemma":0.000008949883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954477,"about_ca_topic_score_gemma":0.02105471,"domain_scores_codex":[0.9993516,0.000125303,0.0001371387,0.000130056,0.00005427664,0.0002016522],"domain_scores_gemma":[0.9994867,0.0002898425,0.00006310907,0.0001077691,0.0000169746,0.00003553807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002174348,0.00007038394,0.9779382,0.0008112982,0.00003626038,0.0000405963,0.00008417589,0.0002932012,0.0003707588,0.0006561659,0.00003629509,0.01944523],"study_design_scores_gemma":[0.0002600888,0.001282109,0.9923763,0.00002786965,0.00001444763,0.00007951951,0.00002885251,0.001184887,0.0031257,0.0007351695,0.0007623324,0.0001227299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985731,0.0000847965,2.569871e-7,0.00006039379,0.0001568044,0.0001502645,0.00002250548,0.00004073724,0.0009111147],"genre_scores_gemma":[0.9994947,0.000002968622,0.00009851018,0.00002432913,0.00009295361,0.000003063611,0.0000843298,0.000003171727,0.0001960122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0193225,"threshold_uncertainty_score":0.9968085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002747637034658148,"score_gpt":0.1676734623508077,"score_spread":0.1649258253161496,"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."}}