{"id":"W2166864180","doi":"10.1177/0021998312467385","title":"A novel system of parametric analytical modeling techniques for transversely loaded fibre reinforced polymer structural members of variable material properties and cross-sectional geometry","year":2012,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Parametric statistics; Finite element method; Computer science; Software; Structural engineering; Fidelity; Materials science; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368477,0.0001452936,0.0005440489,0.0003240306,0.0000443262,0.00007775477,0.00009796539,0.0001139647,0.00004788197],"category_scores_gemma":[0.00001865971,0.0001063559,0.000110733,0.0002078935,0.00004060747,0.0003952903,0.00001595685,0.00005034908,6.625002e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000518383,"about_ca_system_score_gemma":0.00001440998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004173928,"about_ca_topic_score_gemma":5.455624e-8,"domain_scores_codex":[0.9985515,0.000022149,0.0009604684,0.00006969147,0.0002242623,0.0001718902],"domain_scores_gemma":[0.9992548,0.00003288114,0.0003269602,0.00007266047,0.0002470546,0.00006564448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003673419,0.000004010777,0.0003281303,0.0004796147,0.0001862877,1.535653e-7,0.0000520682,0.2069933,0.7911537,0.0004160744,0.000001813935,0.0000174411],"study_design_scores_gemma":[0.0004186823,0.00006834343,0.0009804169,0.0001091111,0.0001451912,0.00009275441,0.00003104002,0.2118939,0.7861512,0.000005871214,0.000001707556,0.0001017694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579539,0.0002005179,0.04114921,0.000002739873,0.000424434,0.0001338986,0.00009996461,0.00002090615,0.00001440163],"genre_scores_gemma":[0.9859425,0.00001101487,0.01378111,0.000003006078,0.00022166,0.000002658917,0.00001332109,0.0000173183,0.000007393309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02798859,"threshold_uncertainty_score":0.4337068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490128325038038,"score_gpt":0.2404270319254201,"score_spread":0.2155257486750397,"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."}}