{"id":"W2032223401","doi":"10.1080/14634980301495","title":"A hypothesis for the assessment of the importance of microbial food web linkages in nearshore and offshore habitats of the Laurentian Great Lakes","year":2003,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Oceanic and Atmospheric Administration","keywords":"Trophic level; Food web; Phytoplankton; Eutrophication; Microbial food web; Ecology; Microbial loop; Biomass (ecology); Ecosystem; Environmental science; Bay; Plankton; Marine ecosystem; Primary producers; Habitat; Oceanography; Food chain; Biology; Nutrient; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826643,0.0001841048,0.0004512714,0.00003843089,0.0001614816,0.00001365542,0.0004777717,0.00005334139,0.00005723775],"category_scores_gemma":[0.000049527,0.0001009637,0.000139107,0.0003322995,0.0001227003,0.00004634029,0.0001640621,0.0001021478,0.000001206983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805518,"about_ca_system_score_gemma":0.00007787906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001408995,"about_ca_topic_score_gemma":0.07260357,"domain_scores_codex":[0.9976807,0.0003613942,0.0009789625,0.0002862726,0.000391234,0.0003014306],"domain_scores_gemma":[0.9979126,0.0004156608,0.0008872319,0.0007238001,0.00001296201,0.00004775897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009177579,0.000164832,0.9800828,0.002992771,0.0001473933,5.078973e-7,0.001033049,0.001692223,0.00006964317,0.009577461,0.001654002,0.002576148],"study_design_scores_gemma":[0.00174471,0.0003709488,0.9278648,0.001585277,0.0001969329,0.000009062353,0.003062117,0.05509055,0.0001893486,0.002317918,0.007280347,0.0002880139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924242,0.0004782534,0.0005369638,0.00157177,0.0002719755,0.003573405,0.0001511669,0.000005579388,0.000986664],"genre_scores_gemma":[0.9979172,0.00009645583,0.001543798,0.000149375,0.000009746506,0.0001349263,0.000002378723,0.0000173882,0.0001287544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07246267,"threshold_uncertainty_score":0.944319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543503493971187,"score_gpt":0.2448661747728557,"score_spread":0.2294311398331438,"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."}}