{"id":"W6958995233","doi":"10.7302/22607","title":"Accelerating Watershed Conservation Planning & Implementation in Michigan’s Stony Creek Subwatershed: A Bottom-Up Approach to Reducing Phosphorus Loading into Lake Erie","year":2024,"lang":"en","type":"other","venue":"Deep Blue (University of Michigan)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Sustainability; Agricultural productivity; Agriculture; Watershed; Government (linguistics); Hydrology (agriculture)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001042011,0.0008356359,0.001151695,0.00234817,0.0003097386,0.0002466557,0.0009211464,0.0006737974,0.001147002],"category_scores_gemma":[0.00005476723,0.001189759,0.0002719888,0.00152467,0.0002010107,0.0005590729,0.0005555462,0.001071172,0.001304607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004206914,"about_ca_system_score_gemma":0.0002329986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02322888,"about_ca_topic_score_gemma":0.7601205,"domain_scores_codex":[0.9955372,0.0003122594,0.0007100489,0.001635589,0.0008084175,0.0009964638],"domain_scores_gemma":[0.9978553,0.00006916963,0.0008268757,0.0007808632,0.0001601182,0.0003076795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005879003,0.0002294175,0.001801305,0.001579136,0.0009135448,0.000141062,0.8338741,0.001322743,0.03667571,0.0001562333,0.1219326,0.0007862712],"study_design_scores_gemma":[0.005281645,0.0002080108,0.001017073,0.003815011,0.0009283638,0.00005408423,0.6162128,0.003950601,0.002029454,0.0002280852,0.3632326,0.003042184],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977176,0.0006745774,0.003438843,0.0001663146,0.001108819,0.001858626,0.0008365418,0.0007411343,0.0139991],"genre_scores_gemma":[0.5371618,0.0001374596,0.1968433,0.0007294929,0.001625373,0.00006122712,0.02237964,0.005390536,0.2356713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7368916,"threshold_uncertainty_score":0.9997661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917585287940644,"score_gpt":0.2661710559888691,"score_spread":0.2369952031094626,"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."}}