{"id":"W4404494761","doi":"10.1007/978-3-031-67398-6_82","title":"The Importance of Surface Preparation in Leading Edge Protection Durability","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wind Energy Institute of Canada","funders":"","keywords":"Durability; Enhanced Data Rates for GSM Evolution; Materials science; Computer science; Composite material; Telecommunications","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":[0.0002006243,0.000413671,0.0003293768,0.0004051655,0.000577813,0.00164254,0.0004414738,0.0006975444,0.008605559],"category_scores_gemma":[0.0003341597,0.0002994536,0.000242389,0.0003696409,0.0004686188,0.001248561,0.000457171,0.001483212,0.002911993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003579005,"about_ca_system_score_gemma":0.0002917817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004737039,"about_ca_topic_score_gemma":0.0009618793,"domain_scores_codex":[0.9998673,0.00001213479,0.000005397158,0.00002530076,0.00007608865,0.00001381339],"domain_scores_gemma":[0.9998643,0.00007682486,0.000006561369,0.00001573717,0.00003111747,0.000005415415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001073214,0.0001446648,0.0002313046,0.001415165,0.00001102497,0.0004900016,0.0004365297,0.004653014,0.3013887,0.07790881,0.01563437,0.5975791],"study_design_scores_gemma":[0.000008602735,0.0003435289,0.001469682,0.0003232721,0.00002795459,0.001107274,0.0002729986,0.004322576,0.3878065,0.0276649,0.5766229,0.00002975393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04299322,0.1278936,0.08587582,0.001918638,0.003311129,0.0001340068,0.0002000236,0.0005717957,0.7371017],"genre_scores_gemma":[0.2165065,0.06199408,0.02589957,0.0007934243,0.0004553164,0.00007968814,0.0002205409,0.0005741662,0.6934767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008605559,"threshold_uncertainty_score":0.02878851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018791456711045,"score_gpt":0.2387313250672199,"score_spread":0.2185434105001095,"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."}}