{"id":"W2327480451","doi":"10.2316/journal.203.2010.3.203-4478","title":"A STRUCTURED MODEL FOR ASSET MANAGEMENT IN THE WIND INDUSTRY","year":2010,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind power; Asset (computer security); Greenhouse gas; Asset management; Investment (military); Business; Environmental economics; Risk analysis (engineering); Computer science; Operations research; Environmental resource management; Engineering; Environmental science; Finance; Economics; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000577884,0.00008550861,0.0001281257,0.0003187082,0.0000415047,0.0003705431,0.0004188213,0.00007783284,0.00001003305],"category_scores_gemma":[0.00006732713,0.0000572245,0.00007224634,0.0001066526,0.00001921594,0.0003825571,0.00005265226,0.0002161199,7.705768e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001575832,"about_ca_system_score_gemma":0.00001151931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185141,"about_ca_topic_score_gemma":0.00008961039,"domain_scores_codex":[0.999101,0.000009064842,0.0003339702,0.000093181,0.0003603527,0.0001024617],"domain_scores_gemma":[0.9992697,0.00004472627,0.0003108688,0.00009034827,0.0002741884,0.00001020028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006333,0.0005464039,0.148948,0.0002418486,0.003162095,0.0004898859,0.001803069,0.2160877,0.002282547,0.5349538,0.0635775,0.02727385],"study_design_scores_gemma":[0.003135171,0.00002326814,0.0340858,0.0002329341,0.0002602901,0.0002614078,0.003023272,0.7475139,0.00001384842,0.01290844,0.1981309,0.0004106931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798437,0.00010067,0.006596507,0.002271618,0.003441169,0.00007346147,0.000007385609,0.00001055139,0.007654911],"genre_scores_gemma":[0.9975154,0.000004587928,0.0001520186,0.0007396721,0.00126843,0.000004271319,0.000005451504,0.00000863685,0.0003015294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5314263,"threshold_uncertainty_score":0.3573156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445332961499459,"score_gpt":0.2534037479330227,"score_spread":0.2389504183180281,"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."}}