{"id":"W2595515166","doi":"","title":"Special Issue: The lower food web of Lake Michigan: long-term trends and the dreissenid impact.","year":2010,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Environmental science; Fishery; Oceanography; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001383739,0.003226587,0.003314424,0.003039754,0.001493621,0.00359294,0.00239118,0.005517769,0.06263386],"category_scores_gemma":[0.002624016,0.0008074751,0.001770915,0.00135406,0.001067064,0.002149401,0.001266932,0.00262654,0.01353969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009463595,"about_ca_system_score_gemma":0.001068344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915618,"about_ca_topic_score_gemma":0.00483325,"domain_scores_codex":[0.9994974,0.00006522393,0.0001120453,0.0001096111,0.0001383394,0.00007744278],"domain_scores_gemma":[0.9958516,0.0008335279,0.0004291442,0.0001488131,0.001426375,0.001310495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002034451,0.00007758001,0.001030534,0.0006104579,0.00005752734,0.0002979288,0.00002620682,0.00006392034,0.0007287721,0.0001847639,0.9833201,0.01339887],"study_design_scores_gemma":[0.0001650999,0.0003989606,0.02515372,0.0005321653,0.0002332282,0.00134122,0.0002321803,0.0007206895,0.0009147282,0.0008987107,0.9693533,0.00005595267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.004119756,0.01293592,0.0006633226,0.04960098,0.9206834,0.0002092405,0.00213742,0.0003751989,0.009274752],"genre_scores_gemma":[0.008020883,0.01104366,0.0005346133,0.009995377,0.9172274,0.0001513597,0.002567414,0.000129683,0.05032958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06263386,"threshold_uncertainty_score":0.2095312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658003657475163,"score_gpt":0.3280029236872778,"score_spread":0.3014228871125262,"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."}}