{"id":"W7161977262","doi":"10.82308/32023","title":"Watershed buffering of anthropogenic phosphorus pressure: landscape and legacy","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Drainage basin; Drainage network; Western europe; Ile de france","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":[0.0002515163,0.0001223658,0.0002494244,0.0007652077,0.0006501169,0.002335887,0.0005101682,0.000457725,0.003854827],"category_scores_gemma":[0.0008427058,0.0001640257,0.0001628476,0.001998298,0.0009949205,0.0009320399,0.001230202,0.0002194705,0.000287603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163983,"about_ca_system_score_gemma":0.001705044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03457963,"about_ca_topic_score_gemma":0.04619374,"domain_scores_codex":[0.9998142,0.0000321366,0.00001069161,0.00005284703,0.00003463381,0.00005547592],"domain_scores_gemma":[0.9997376,0.00002918313,0.0000778975,0.00001808719,0.00006430232,0.00007280787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000368448,0.000258636,0.8614835,0.0003062484,0.0002378673,0.001027674,0.002152692,0.005196552,0.02499096,0.01066424,0.002615162,0.09069791],"study_design_scores_gemma":[0.00001899818,0.00009821171,0.9814394,0.00004431446,0.00005471447,0.0001515096,0.002261344,0.003361458,0.0008921583,0.002965405,0.008693896,0.00001858526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843425,0.001176188,0.001215518,0.001043667,0.00001606183,0.00002531754,0.0006600005,0.00009418277,0.01142659],"genre_scores_gemma":[0.9981654,0.0005003534,0.0002751952,0.00004272197,0.00001687914,0.000008780792,0.0001764834,0.00001172504,0.0008024416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03457963,"threshold_uncertainty_score":0.0687567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006727957139620405,"score_gpt":0.22984876090046,"score_spread":0.2231208037608396,"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."}}