{"id":"W2159213027","doi":"10.1890/07-1201.1","title":"THE RELATION BETWEEN PRODUCTIVITY AND SPECIES DIVERSITY IN TEMPERATE–ARCTIC MARINE ECOSYSTEMS","year":2008,"lang":"en","type":"article","venue":"Ecology","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"Division of Environmental Biology; National Science Foundation","keywords":"Species richness; Macrobenthos; Ecology; Productivity; Oceanography; Ecosystem; Arctic; Benthic zone; Environmental science; Geography; 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":[0.0008526488,0.0002553285,0.0002013999,0.001317731,0.0003701614,0.0006458908,0.000167996,0.0002008998,0.0004309094],"category_scores_gemma":[0.002366123,0.0001841707,0.0003288177,0.0008130187,0.0005037517,0.0003612235,0.0005924993,0.0001778986,0.000126098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000444994,"about_ca_system_score_gemma":0.0002239389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209787,"about_ca_topic_score_gemma":0.04265657,"domain_scores_codex":[0.9996326,0.00008934971,0.00003453438,0.0001071872,0.00005535266,0.00008082934],"domain_scores_gemma":[0.998507,0.0005559475,0.0004074411,0.0001262219,0.0002232625,0.0001800697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003372512,0.000005291565,0.9960505,0.000007355135,0.00007787839,0.00002386568,0.0001008399,0.0003460412,0.001751359,0.00003359268,0.00001765553,0.001551798],"study_design_scores_gemma":[4.47113e-7,0.000004871694,0.9995465,8.561312e-7,0.000003395614,0.00002203047,0.00003812325,0.0002705189,0.00005777255,0.00002344885,0.00003093094,0.000001077088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994759,0.00009903991,0.0001334899,0.000006634577,9.220668e-7,4.913161e-7,0.00007589468,0.000002529326,0.0002051726],"genre_scores_gemma":[0.9996947,0.00004084927,0.00007654258,0.000003027843,0.000001825056,0.000001144747,0.0001348868,0.000001026084,0.00004613448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02209787,"threshold_uncertainty_score":0.04393852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655361158914797,"score_gpt":0.2204500055377177,"score_spread":0.1838963939485698,"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."}}