{"id":"W2333287182","doi":"10.1021/es303435e","title":"From LCAs to Simplified Models: A Generic Methodology Applied to Wind Power Electricity","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Wind power; Greenhouse gas; Life-cycle assessment; Turbine; Identification (biology); Key (lock); Electricity; Computer science; Environmental science; Sample (material); Reliability engineering; Electricity generation; Sensitivity (control systems); Engineering; Power (physics); Production (economics); Mechanical engineering","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":[0.001585066,0.001829028,0.001200995,0.002048232,0.0005655093,0.001539157,0.001460145,0.0008721232,0.005179762],"category_scores_gemma":[0.005546405,0.0008307897,0.002250476,0.002092831,0.0007413091,0.001340333,0.00218919,0.001617646,0.001313262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123552,"about_ca_system_score_gemma":0.001516661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006759726,"about_ca_topic_score_gemma":0.006570714,"domain_scores_codex":[0.9991511,0.0004740348,0.00005373693,0.00007702431,0.0001996977,0.00004431642],"domain_scores_gemma":[0.9989336,0.0005570094,0.0001193719,0.0002071293,0.0001518736,0.00003105884],"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":[0.00001476825,0.0000290273,0.0003606546,0.0002067921,0.0001066627,0.0001732271,0.0001064267,0.9010642,0.001429603,0.0673956,0.001519046,0.02759401],"study_design_scores_gemma":[0.00001586812,0.00003489687,0.0001588086,0.00006302077,0.00004322173,0.00006069175,0.0000494362,0.8958154,0.001011562,0.08934377,0.01337618,0.00002717468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003149691,0.0001778604,0.9918731,0.00007891867,0.00003047372,0.0001440726,0.0004638894,0.0005407611,0.003541163],"genre_scores_gemma":[0.2170328,0.001780063,0.7706798,0.0001724711,0.0001076856,0.001944019,0.002067778,0.0008665802,0.005348937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006759726,"threshold_uncertainty_score":0.01732802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690919081459159,"score_gpt":0.2717767425110669,"score_spread":0.2448675516964753,"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."}}