{"id":"W6892190418","doi":"10.5066/p1wlgxgz","title":"Cladophora biomass and supporting data collected in the Great Lakes, 2024 (ver. 2.0, February 2026)","year":2025,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cladophora; Transect; Biomass (ecology); Benthic zone; Nekton; Water column; Aquatic plant; Water quality; Abundance (ecology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001028945,0.0005838605,0.0004995501,0.0002742875,0.0001777287,0.0001490597,0.0008779592,0.000400661,0.000585987],"category_scores_gemma":[0.0001174405,0.0005217993,0.00006552171,0.0005331709,0.0001307145,0.0002590126,0.0005866384,0.001099063,0.00006990629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968234,"about_ca_system_score_gemma":0.00006058125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002818167,"about_ca_topic_score_gemma":0.0003860209,"domain_scores_codex":[0.9966818,0.0002150321,0.0007340231,0.001195918,0.0005578549,0.0006153373],"domain_scores_gemma":[0.997004,0.00008231412,0.0001621822,0.002666609,0.000009419851,0.00007546151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001494568,0.00007068749,0.00007136944,0.0003511622,0.0001428036,0.00009226671,0.00004410597,0.04824938,0.0001033281,6.79974e-7,0.9492314,0.001627906],"study_design_scores_gemma":[0.0002881392,0.00003394511,0.00151633,0.0001377296,0.0002298022,0.00009467803,0.00006468015,0.009719356,0.00004797944,0.00001446626,0.9873255,0.0005274139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009468345,0.008105549,0.0001144594,0.00143082,0.003449305,0.002903341,0.9741118,0.0002037096,0.0002126972],"genre_scores_gemma":[0.0008859147,0.006818379,0.0002449022,0.0001196499,0.0008878763,0.000193729,0.9890807,0.00005181934,0.001717054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03853002,"threshold_uncertainty_score":0.9997234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178848028269734,"score_gpt":0.221528231520385,"score_spread":0.2097397512376877,"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."}}