{"id":"W2528762103","doi":"10.1021/acs.est.6b02311","title":"Land Use in LCA: Including Regionally Altered Precipitation to Quantify Ecosystem Damage","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Belmont Forum","keywords":"Environmental science; Evapotranspiration; Precipitation; Ecosystem; Water cycle; Climate change; Terrestrial ecosystem; Arid; Primary production; Land use; Water use; Land use, land-use change and forestry; Life-cycle assessment; Hydrology (agriculture); Atmospheric sciences; Ecology; Production (economics); Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008657298,0.0002649656,0.0002422369,0.0004778453,0.0003188023,0.00005376025,0.0008472473,0.0001643887,0.0007532425],"category_scores_gemma":[0.0002689937,0.0002038544,0.0000494686,0.001170349,0.001599957,0.001439702,0.001353913,0.0001782179,0.001065364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003088343,"about_ca_system_score_gemma":0.00002021703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001536763,"about_ca_topic_score_gemma":0.0008055788,"domain_scores_codex":[0.9970177,0.00007495802,0.000414695,0.0009713734,0.0006563091,0.000864994],"domain_scores_gemma":[0.9988454,0.00008713049,0.000122568,0.0006845585,0.000002640569,0.0002576754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002246432,0.0001182501,0.7210576,0.000001810907,0.000001655593,0.00001290084,0.0002048991,0.0002393738,0.2727177,0.0001532304,0.00004548601,0.005424631],"study_design_scores_gemma":[0.0005160364,0.0002265983,0.9669929,0.00003264116,0.000004055857,0.00002111606,0.0004487999,0.0001516823,0.02580545,0.0011261,0.004346571,0.0003280472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958431,0.000009683803,0.0006145462,0.002041386,0.0001272345,0.0006460048,0.00002356704,0.00009215406,0.0006023062],"genre_scores_gemma":[0.9974877,0.00002263644,0.001640813,0.0001855737,0.0000174336,0.00007699199,0.000003207951,0.0000208901,0.0005447147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2469123,"threshold_uncertainty_score":0.9997124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994510300136913,"score_gpt":0.264043127700432,"score_spread":0.2440980246990629,"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."}}