{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007125957,0.00005605264,0.0001525731,0.0001129542,0.0002473454,0.00006697109,0.0004552986,0.00003272664,0.0006090424],"category_scores_gemma":[0.0002336568,0.00004144979,0.0001182305,0.0001983768,0.0001194096,0.0001583225,0.00005610759,0.00004021879,0.000003035192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104911,"about_ca_system_score_gemma":0.0004228215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007756368,"about_ca_topic_score_gemma":0.01414053,"domain_scores_codex":[0.9984978,0.00008935451,0.0004366782,0.00007731402,0.0007785168,0.0001202976],"domain_scores_gemma":[0.9988802,0.0001593573,0.0002897769,0.0000746951,0.000468098,0.0001278578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209841,0.001467293,0.4905138,0.00007020625,0.006139569,0.00000713489,0.02247111,0.08371332,0.003234021,0.3315665,0.0440253,0.01558189],"study_design_scores_gemma":[0.001728678,0.0009010857,0.8379521,0.0002671995,0.00166274,0.000004361313,0.02780001,0.02559147,0.0008037972,0.007823664,0.09512831,0.0003366217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616492,0.00008048275,0.1017506,0.0324295,0.001232726,0.0002585521,0.0002179122,0.000006572701,0.002374445],"genre_scores_gemma":[0.9931876,0.0001307466,0.003069017,0.002489207,0.001007031,0.000007877265,0.00001774626,0.000003502051,0.00008726686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3474383,"threshold_uncertainty_score":0.7890747,"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."}}