{"id":"W4394106348","doi":"10.6084/m9.figshare.1352076","title":"Long-term trends in Lake Ontario's benthic macroinvertebrate community from 1994–2008","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benthic zone; Term (time); Geography; Environmental science; Ecology; Invertebrate; Oceanography; Fishery; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001854252,0.0001686278,0.0001637967,0.0007934557,0.001027665,0.0006616328,0.0004052414,0.0002929977,0.001266002],"category_scores_gemma":[0.0007604579,0.0002269144,0.0002147237,0.001258969,0.000338556,0.0003871135,0.0006110133,0.000266228,0.0002331454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009065676,"about_ca_system_score_gemma":0.004337546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9464892,"about_ca_topic_score_gemma":0.9880151,"domain_scores_codex":[0.9997485,0.000009275071,0.0000163851,0.00004445661,0.000109897,0.00007149432],"domain_scores_gemma":[0.9987986,0.00003093555,0.0002895383,0.00001851843,0.0006597441,0.0002026078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005574083,0.00001782767,0.9902048,0.00004370123,0.00004387671,0.00007657854,0.00116018,0.0001151303,0.001229911,0.00003574271,0.001759711,0.005256703],"study_design_scores_gemma":[7.698849e-7,0.000006737203,0.9987913,0.000005539525,0.000005426116,0.00001054699,0.0002265286,0.00005293669,0.0000280607,0.000001877966,0.000868321,0.000001865452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9942121,0.0002814202,0.00005551112,0.0001763203,0.000005895127,0.000009712889,0.002833976,0.00001109977,0.002413869],"genre_scores_gemma":[0.9935529,0.0003140965,0.0001661753,0.00006415825,0.000006534562,0.00002224406,0.002304067,0.000003667169,0.0035662],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05351079,"threshold_uncertainty_score":0.1076518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05922308287432162,"score_gpt":0.2770310097425787,"score_spread":0.217807926868257,"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."}}