{"id":"W2811475623","doi":"10.1007/s11367-018-1476-2","title":"Global spatial analysis of toxic emissions to freshwater: operationalization for LCA","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Agency for Toxic Substances and Disease Registry; Seventh Framework Programme; European Commission; University of Michigan","keywords":"Environmental science; Life-cycle assessment; Spatial variability; Operationalization","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":[0.001329997,0.0006170727,0.000444226,0.002982338,0.0003541339,0.001501043,0.0003914618,0.0003609765,0.001756152],"category_scores_gemma":[0.003330307,0.0001831384,0.001355516,0.005792613,0.0004552834,0.0008823377,0.001148595,0.0003000814,0.0001646544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162568,"about_ca_system_score_gemma":0.001980127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09682766,"about_ca_topic_score_gemma":0.07852321,"domain_scores_codex":[0.9994722,0.0002090858,0.00004291172,0.00008420397,0.0001299744,0.00006168759],"domain_scores_gemma":[0.9992434,0.0002206852,0.0001061411,0.0001651182,0.0002347175,0.00003000524],"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":[0.0002708787,0.0002023063,0.2308297,0.0002391481,0.0009394708,0.0001699948,0.000336064,0.6502423,0.004419423,0.02899126,0.002996875,0.08036256],"study_design_scores_gemma":[0.00005118079,0.0001347362,0.2593763,0.00009047408,0.0003813878,0.0001011182,0.001472939,0.6977017,0.005496776,0.02256857,0.01254114,0.0000836041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613349,0.0004994952,0.09862487,0.0006925063,0.00004345825,0.0002686492,0.01585978,0.0008852164,0.02179119],"genre_scores_gemma":[0.9647993,0.0002036357,0.03000544,0.00002820893,0.00001171581,0.0001107652,0.004212796,0.00008193737,0.0005461439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09682766,"threshold_uncertainty_score":0.1925281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967876212114116,"score_gpt":0.4110134343831529,"score_spread":0.3813346722620117,"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."}}