{"id":"W3033721316","doi":"10.1111/jiec.13018","title":"LC‐IMPACT: A regionalized life cycle damage assessment method","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Impact assessment; Environmental science; Human health; Environmental resource management; Reliability (semiconductor); Scale (ratio); Industrial ecology; Environmental impact assessment; Environmental economics; Computer science; Geography; Ecology; Environmental health; Cartography; Economics; Biology; Production (economics)","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":[0.003252171,0.001034999,0.0006410024,0.004501601,0.0004317554,0.001623816,0.001420716,0.0008022552,0.007734393],"category_scores_gemma":[0.009177671,0.0004098247,0.001457349,0.002899902,0.0005587941,0.001467752,0.00188659,0.001135888,0.00193058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305584,"about_ca_system_score_gemma":0.001508658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00667143,"about_ca_topic_score_gemma":0.005906005,"domain_scores_codex":[0.9984021,0.0005668947,0.0001319865,0.0002643183,0.0005396995,0.00009502708],"domain_scores_gemma":[0.9965612,0.00147744,0.0004792335,0.0005056395,0.0008976469,0.00007877877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002458546,0.000152347,0.01668973,0.0004546029,0.0003996993,0.0002789552,0.0002622108,0.5185502,0.004518641,0.04236135,0.01880147,0.397285],"study_design_scores_gemma":[0.00003985177,0.00006871139,0.004546846,0.00007641318,0.00007741647,0.0002281033,0.0001002141,0.9438147,0.002403989,0.02661382,0.02195979,0.00007022762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006432465,0.0001712197,0.9825504,0.000121668,0.00002698946,0.0002481317,0.002707395,0.002328061,0.005413629],"genre_scores_gemma":[0.1723507,0.000285524,0.8170093,0.0001500987,0.00006857413,0.0008448298,0.005460378,0.000764903,0.003065642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007734393,"threshold_uncertainty_score":0.02587408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322784206134282,"score_gpt":0.3418833504174322,"score_spread":0.2986555083560894,"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."}}