{"id":"W2026730036","doi":"10.1007/s11367-013-0683-0","title":"Uncertainty and spatial variability in characterization factors for aquatic acidification at the global scale","year":2013,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Environmental science; Aquatic ecosystem; Spatial ecology; Spatial variability; Species richness; Ecology; Spatial heterogeneity; Atmospheric sciences; Biology; Geology","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":[0.001134604,0.00009049894,0.0001104545,0.00001365818,0.00009987966,0.00007589904,0.0003399394,0.00003132972,0.0004756813],"category_scores_gemma":[0.0002400139,0.00005041617,0.00005627569,0.00005505011,0.0001731635,0.0003208814,0.0001738757,0.00009290379,0.000007007587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446078,"about_ca_system_score_gemma":0.00003574918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426969,"about_ca_topic_score_gemma":0.0004893387,"domain_scores_codex":[0.9987597,0.0001767501,0.0003761322,0.0001190151,0.0004413603,0.0001269762],"domain_scores_gemma":[0.99919,0.0002877568,0.0002863113,0.0001374929,0.00002709205,0.00007135986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005759788,0.0001430034,0.9783186,0.000002878439,0.00002264749,2.829387e-7,0.0004345584,0.002047884,0.004690799,0.00005560694,0.00004671765,0.01417943],"study_design_scores_gemma":[0.0003643134,0.00005068915,0.9717562,0.000004872193,0.00001059629,0.000004856339,0.0005096806,0.02227762,0.0002307734,0.004500056,0.0002361697,0.00005419632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824334,0.000004215196,0.009579821,0.007162253,0.0001867651,0.00042193,0.00001565574,0.000002836366,0.0001931347],"genre_scores_gemma":[0.999345,0.00001408334,0.0001816322,0.0003157558,0.00006102875,0.00002466713,0.00001656701,0.000004143501,0.00003712821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02022973,"threshold_uncertainty_score":0.5208377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009658067775153567,"score_gpt":0.2787504500623049,"score_spread":0.2690923822871513,"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."}}