{"id":"W4396523091","doi":"10.2139/ssrn.4812407","title":"A Model for Institutional Phosphorus Damage Costs: A Case Study at the University of Virginia","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Organizational Change and Leadership","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Phosphorus; Environmental science; Chemistry","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":[0.00142606,0.0006787789,0.0009649939,0.002114365,0.002610644,0.006850801,0.00278202,0.004975174,0.01758382],"category_scores_gemma":[0.00500186,0.0006512611,0.001091297,0.002613611,0.001878805,0.003792643,0.00173882,0.002445474,0.0009146167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008431359,"about_ca_system_score_gemma":0.005339484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1094809,"about_ca_topic_score_gemma":0.08877572,"domain_scores_codex":[0.9989594,0.0003831759,0.00002666889,0.0001419117,0.0001031281,0.0003856298],"domain_scores_gemma":[0.9972075,0.001623206,0.0002485068,0.0001729044,0.0002931995,0.0004548661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001463515,0.0003988023,0.003743646,0.00006385817,0.00004669994,0.0007566221,0.0004476171,0.5486026,0.0003960212,0.432422,0.004845186,0.008130549],"study_design_scores_gemma":[0.0001798548,0.0001950986,0.002962983,0.00005810494,0.00007592094,0.0002979798,0.001997479,0.7872359,0.0003350473,0.1928823,0.01368506,0.0000943633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6660535,0.0008806459,0.1131376,0.01027607,0.0001390933,0.0004472944,0.001775685,0.00039358,0.2068965],"genre_scores_gemma":[0.9692789,0.0002838092,0.005765728,0.0001012376,0.0000194094,0.00009910899,0.0001503165,0.00004556129,0.02425595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1094809,"threshold_uncertainty_score":0.2176872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360531116932568,"score_gpt":0.2438234847289711,"score_spread":0.2102181735596454,"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."}}