{"id":"W6892157312","doi":"10.5066/p9ps7x5r","title":"Data Release Sediment and water column flux data from the Fox Rivermouth (Green Bay, WI; 2017)","year":2021,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Water column; Nutrient; Tributary; Hydrology (agriculture); Flux (metallurgy); Chlorophyll a; Sediment; Water quality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358193,0.002055972,0.001255899,0.002949993,0.0006817394,0.002063912,0.002134123,0.001357001,0.07731413],"category_scores_gemma":[0.005856587,0.0008044925,0.0009919788,0.006267312,0.0003552515,0.001197769,0.001787779,0.001326478,0.0736599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342502,"about_ca_system_score_gemma":0.002270701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05039411,"about_ca_topic_score_gemma":0.0661708,"domain_scores_codex":[0.9990693,0.0001016462,0.000157263,0.0002980366,0.0002562727,0.000117559],"domain_scores_gemma":[0.9972837,0.0005242723,0.0004079033,0.0005614277,0.001044651,0.0001781083],"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":[0.00005994217,0.00002300187,0.002780891,0.0008252038,0.00007644321,0.00003532506,0.00004396035,0.0005998955,0.0002379116,0.0005348618,0.9916376,0.003144851],"study_design_scores_gemma":[0.0002396886,0.00001269339,0.01008422,0.0002756316,0.00005308682,0.00002977815,0.00009409697,0.0003705235,0.0004707483,0.001155086,0.9871687,0.00004580155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001055192,0.00001124459,0.00005700231,0.00002208434,0.000009528731,0.000004588302,0.9994226,0.0001525932,0.0002149399],"genre_scores_gemma":[0.0004639614,0.00002426096,0.0003902802,0.00002150029,0.000004026535,0.00007620778,0.9983736,0.0001233383,0.0005227794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07731413,"threshold_uncertainty_score":0.2586415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05295563714194138,"score_gpt":0.2517626907185831,"score_spread":0.1988070535766418,"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."}}