{"id":"W2054050554","doi":"10.1007/s12237-015-9967-x","title":"Patterns in Taxonomic and Functional Diversity of Macrobenthic Invertebrates Across Seagrass Habitats: a Case Study in Atlantic Canada","year":2015,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Seagrass; Ecology; Invertebrate; Habitat; Species richness; Biology; Beta diversity; Ecosystem; Species diversity; Taxonomic rank; Diversity index; Alpha diversity; Marine ecosystem; Taxon","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001901771,0.00008782018,0.0001697226,0.0000350858,0.00008689934,0.00002220101,0.00004640926,0.00003227505,0.00003860252],"category_scores_gemma":[0.00001806934,0.00007325738,0.000007276975,0.00007714636,0.00006299947,0.00008994213,0.0001361047,0.00009053444,8.00403e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006024652,"about_ca_system_score_gemma":0.0001099489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929131,"about_ca_topic_score_gemma":0.9997179,"domain_scores_codex":[0.9993597,0.00006152511,0.0001464351,0.0001709779,0.00008620549,0.0001752076],"domain_scores_gemma":[0.999714,0.00009056066,0.00004023197,0.00005432864,0.00001750258,0.0000833953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008767455,0.0000250405,0.9922546,0.00001619235,0.000008954572,0.0008523442,0.001038376,0.00006305624,3.588464e-7,0.000007724644,0.0001556991,0.005490052],"study_design_scores_gemma":[0.0007009147,0.0001955206,0.978167,0.000008098683,0.000004540011,0.0002743043,0.01904383,0.001335597,9.406458e-7,0.00006190854,0.0001215734,0.00008579125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993685,0.0001255177,0.00000353104,0.00007148759,0.00009550252,0.0001220423,0.00009846341,0.000003145906,0.0001118159],"genre_scores_gemma":[0.9997997,0.00001924649,0.000004360492,0.00007420971,0.00001197958,8.768112e-7,0.0000428586,9.092257e-7,0.00004581448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01800545,"threshold_uncertainty_score":0.2987349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700476294638723,"score_gpt":0.2064530158829596,"score_spread":0.1794482529365723,"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."}}