{"id":"W2335744413","doi":"10.2514/6.2016-0985","title":"Probabilistic First Ply Failure Analysis of Wind Turbine Blade Laminates","year":2016,"lang":"en","type":"article","venue":"57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blade (archaeology); Turbine blade; Probabilistic logic; Structural engineering; Turbine; Computer science; Materials science; Engineering; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001313307,0.0005792321,0.0005337188,0.001591193,0.0003640247,0.0004723019,0.0006760689,0.0005657015,0.0007221978],"category_scores_gemma":[0.002370387,0.0005301062,0.000929188,0.0003205742,0.000537606,0.0006145768,0.0005347227,0.000413347,0.0001715936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402456,"about_ca_system_score_gemma":0.0004918723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002251785,"about_ca_topic_score_gemma":0.002514407,"domain_scores_codex":[0.9993543,0.0001385755,0.00002323019,0.00008703962,0.0003537326,0.00004315011],"domain_scores_gemma":[0.9989564,0.0004942872,0.0002040864,0.0000877629,0.0002344081,0.00002300774],"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":[0.00002974691,0.00002144438,0.003399721,0.0000315331,0.00002561995,0.00005559645,0.00004881721,0.9550103,0.01114081,0.002971685,0.0001057072,0.02715898],"study_design_scores_gemma":[8.965955e-7,0.00002759588,0.002333385,0.000003417039,0.000003302396,0.00003378085,0.000005841721,0.9946952,0.001580196,0.001181289,0.0001278086,0.000007204894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05530531,0.00008814632,0.9437261,0.00002058115,0.000003519188,0.00003189855,0.00004932776,0.0001857243,0.0005894078],"genre_scores_gemma":[0.8941447,0.0001331075,0.1042126,0.00001286276,0.00001446177,0.00009981536,0.0001591624,0.00006203371,0.001161241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002251785,"threshold_uncertainty_score":0.00694555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007561559968264568,"score_gpt":0.2056230575343631,"score_spread":0.1980614975660985,"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."}}