{"id":"W1991934584","doi":"10.1890/06-1448.1","title":"INDEPENDENT GRADIENTS OF PRODUCER, CONSUMER, AND MICROBIAL DIVERSITY IN LAKE PLANKTON","year":2007,"lang":"en","type":"article","venue":"Ecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trophic level; Zooplankton; Ecology; Phytoplankton; Decomposer; Plankton; Biology; Food web; Abiotic component; Pelagic zone; Species evenness; Temperature gradient gel electrophoresis; Species diversity; Bacterioplankton; Ecosystem; Bacteria; Nutrient","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005592064,0.00006759777,0.0001710296,0.00008255547,0.00006604654,0.000001689423,0.0001512241,0.0001014275,0.001408325],"category_scores_gemma":[0.00005796166,0.00006988258,0.00001971477,0.0001290036,0.0002968132,0.00004800105,0.0006353246,0.0001093795,0.00009673183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009705609,"about_ca_system_score_gemma":0.000006193834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000360887,"about_ca_topic_score_gemma":0.1798099,"domain_scores_codex":[0.9991832,0.00005579871,0.0001892113,0.000241245,0.00007829177,0.0002522054],"domain_scores_gemma":[0.9996781,0.00007394661,0.00008157042,0.0001218889,0.000004830918,0.00003970108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003591971,0.0001263709,0.9955702,0.000002649404,0.00001116481,0.00003331331,0.0003776305,0.00002779465,0.002236002,0.00003239637,0.0006063906,0.0009401565],"study_design_scores_gemma":[0.0005310089,0.00007826788,0.9948949,9.635019e-7,0.000011773,0.00001505051,0.00004213194,0.00001077787,0.001688742,0.000211785,0.002449716,0.00006483621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99665,0.00001115751,0.00001135836,0.00007216533,0.0001955398,0.0001425534,0.000005363938,0.000005461073,0.002906434],"genre_scores_gemma":[0.9993491,0.0000145984,0.0002092652,0.0001465478,0.000009391731,0.000001734478,0.000004161,0.000003135549,0.0002620336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179449,"threshold_uncertainty_score":0.9995045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009325859883313003,"score_gpt":0.2188477486948461,"score_spread":0.2095218888115331,"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."}}