{"id":"W7043458363","doi":"","title":"Sligo Creek Subwatershed Project, Prince George’s County, MD","year":2016,"lang":"en","type":"other","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Watershed; Digital elevation model; Global Positioning System","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":[0.0006612574,0.0005575556,0.0002346333,0.0015119,0.002488562,0.002421589,0.001138099,0.0007514836,0.226033],"category_scores_gemma":[0.00208014,0.0004101956,0.0002143583,0.001179445,0.0004396751,0.000887676,0.001805501,0.0008179453,0.04831808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397535,"about_ca_system_score_gemma":0.0166608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1536693,"about_ca_topic_score_gemma":0.5081296,"domain_scores_codex":[0.9995443,0.00004243977,0.00001373242,0.00006864278,0.0002280666,0.0001027548],"domain_scores_gemma":[0.9987971,0.00008664963,0.00004367242,0.00006977848,0.0005739173,0.0004288663],"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":[0.00007374423,0.0001223992,0.003149256,0.00008199256,0.000004543209,0.000107557,0.0002249318,0.0001066128,0.0001599063,0.002517592,0.9146828,0.07876871],"study_design_scores_gemma":[0.00004602013,0.00002844727,0.0104481,0.0001388842,0.000007575279,0.00007925363,0.0007717806,0.0002127748,0.0002329916,0.00074217,0.9872856,0.000006415458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01464918,0.0007757847,0.001370483,0.006288126,0.0004866432,0.0004793266,0.03997732,0.001369438,0.9346038],"genre_scores_gemma":[0.0154716,0.0007474768,0.003026637,0.0008530552,0.00006273616,0.0003288667,0.01207839,0.0004070234,0.9670242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.226033,"threshold_uncertainty_score":0.7561556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06898769209076525,"score_gpt":0.3362009785688998,"score_spread":0.2672132864781346,"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."}}