{"id":"W6959553332","doi":"10.1021/es3013563.s001","title":"Life Cycle Impact Assessment\\nof Terrestrial Acidification:\\nModeling Spatially Explicit Soil Sensitivity at the Global Scale","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Washington State University","keywords":"Sensitivity (control systems); Scale (ratio); Global change; Monte Carlo method; Carbon cycle; Hydrology (agriculture)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004143529,0.0005653759,0.000302909,0.0005020607,0.0001541583,0.000506982,0.0005608754,0.0004628047,0.001395108],"category_scores_gemma":[0.0007269827,0.0002162224,0.0006615474,0.0004621932,0.000242616,0.000592869,0.0005495088,0.0003636656,0.0001089107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000920212,"about_ca_system_score_gemma":0.0008487817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03180832,"about_ca_topic_score_gemma":0.03523137,"domain_scores_codex":[0.9999073,0.00003238603,0.000004524265,0.00002744248,0.00001409124,0.00001428788],"domain_scores_gemma":[0.9997754,0.0001148238,0.00003691429,0.0000314448,0.00002916223,0.00001229414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006085593,0.00001030327,0.003627197,0.00001799748,0.00003693386,0.00001495336,0.00000920849,0.9903197,0.0006263914,0.001148283,0.00007158245,0.004111376],"study_design_scores_gemma":[0.000004312242,0.0000139619,0.002059365,0.000004664656,0.0000160594,0.000007411815,0.00001149153,0.9952078,0.0004614776,0.001460479,0.0007467695,0.000006165301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154185,0.0006740349,0.4660243,0.0002944928,0.00004502239,0.0001435827,0.003322472,0.0007788896,0.0132988],"genre_scores_gemma":[0.9593793,0.0003035959,0.03753391,0.000047262,0.00001435875,0.0001062054,0.0009967097,0.00006387333,0.001554848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03180832,"threshold_uncertainty_score":0.06324637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740731550921786,"score_gpt":0.3661289009693589,"score_spread":0.328721585460141,"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."}}