{"id":"W4417362549","doi":"10.1002/ece3.72532","title":"Local Conditions and Environmental Gradients Shape the Abundance and Size Structure of a Non‐Native Intertidal Species in Atlantic North America","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Rugosity; Abundance (ecology); Range (aeronautics); Substrate (aquarium); Community structure; Intertidal zone; Invertebrate; Population; Relative species abundance","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":[0.0001391152,0.0000910384,0.0001325686,0.0004723456,0.0003160266,0.0003848055,0.0001970367,0.0001169658,0.0008606796],"category_scores_gemma":[0.0003804461,0.00009767702,0.0001145161,0.0003181154,0.0003667196,0.0002065963,0.0003238626,0.0001061469,0.00007560518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000350119,"about_ca_system_score_gemma":0.0001633605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03305564,"about_ca_topic_score_gemma":0.1461624,"domain_scores_codex":[0.9999309,0.00001114841,0.00000621309,0.00002715372,0.000009658135,0.0000150274],"domain_scores_gemma":[0.9996847,0.00006137102,0.0001223801,0.000021694,0.00005457036,0.0000552566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002064963,0.000008301441,0.9944822,0.0000102602,0.00002087621,0.00002811691,0.0002951787,0.00006617599,0.003383198,0.00001663556,0.00002961287,0.001638877],"study_design_scores_gemma":[3.98931e-7,0.000003179693,0.999728,0.000001013032,0.000002087583,0.000009789091,0.0001405211,0.00007361295,0.0000166336,0.00000407751,0.00002021312,4.681587e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997411,0.00002109366,0.00002972969,0.000005283759,3.560503e-7,7.740923e-7,0.00003372159,0.000001337193,0.0001666336],"genre_scores_gemma":[0.9998335,0.00001422937,0.0000412783,0.000005249438,7.988564e-7,0.00000155116,0.00005241867,6.093972e-7,0.00005026404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03305564,"threshold_uncertainty_score":0.06572646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002852178162528085,"score_gpt":0.172020109318344,"score_spread":0.1691679311558159,"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."}}