{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001786971,0.0001774188,0.0001332798,0.00001396571,0.0001985482,0.00005721974,0.0003575268,0.000150571,0.003896701],"category_scores_gemma":[0.001566454,0.0001081685,0.000143272,0.0000969133,0.00002711701,0.00001895325,0.0006004057,0.00009560275,0.000323831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851323,"about_ca_system_score_gemma":0.0004492122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001818628,"about_ca_topic_score_gemma":0.0001815107,"domain_scores_codex":[0.9985193,0.0001725222,0.0001875291,0.0004385981,0.0003057639,0.0003763108],"domain_scores_gemma":[0.9987556,0.00009654459,0.0001122138,0.0007385803,0.0001211287,0.0001759374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004864337,0.0002235992,0.009517647,0.00007605172,0.0002821584,0.00002898585,0.00004641911,0.007342928,0.6075654,0.0000253405,0.3110867,0.06331833],"study_design_scores_gemma":[0.008209638,0.00146533,0.04452897,0.00153188,0.00007839246,0.0002687993,0.0001572604,0.03656949,0.6260402,0.001045389,0.2772298,0.002874759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7829604,0.001235921,0.01602521,0.004882318,0.0003702169,0.001390004,0.1855291,0.0001456276,0.007461189],"genre_scores_gemma":[0.9877462,0.00002860485,0.0002612209,0.000164729,0.0006546364,0.0001047127,0.01085109,0.00002120649,0.0001676227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2047858,"threshold_uncertainty_score":0.9970139,"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."}}