{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008263001,0.0000625116,0.0001348545,0.00005582499,0.0008999403,0.000007438054,0.0001222744,0.000108165,0.0009120708],"category_scores_gemma":[0.0002205373,0.00004311916,0.00001289542,0.0001084324,0.0003301081,0.00009012432,0.0001345558,0.0002233573,0.0001241605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001062697,"about_ca_system_score_gemma":0.00003444505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336397,"about_ca_topic_score_gemma":0.1731488,"domain_scores_codex":[0.9990407,0.0003297139,0.0001191568,0.0001977072,0.00005516412,0.0002575507],"domain_scores_gemma":[0.9992171,0.0005789755,0.00003575129,0.0001028593,0.00002243983,0.00004285785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003489187,0.00000645432,0.9988825,0.000004943684,0.00001082936,0.00001370925,0.00008821872,0.00001244041,0.000001563441,0.00004826291,0.0001515146,0.0007446136],"study_design_scores_gemma":[0.0001684297,0.0001294165,0.9970585,5.927363e-7,0.000002571635,0.00003989285,0.00002658537,0.0001475534,0.000004125031,0.0006696147,0.001703024,0.0000496912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940596,0.0000532933,2.813119e-7,0.00139742,0.0002376163,0.0001741868,0.0000036984,0.00001095299,0.004062919],"genre_scores_gemma":[0.9973645,0.0001303201,0.000008183716,0.00002001038,0.000115593,0.000001713159,0.00003471493,8.616514e-7,0.002324131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1708124,"threshold_uncertainty_score":0.9986536,"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."}}