{"id":"W4392339006","doi":"","title":"Contribution to the development of a structural health monitoring system for civil engineering structures","year":2018,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural health monitoring; Construction engineering; Civil engineering; Engineering; Political science; Systems engineering; Environmental planning; Geography; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001711426,0.001136685,0.001571979,0.000370526,0.000632957,0.0001463413,0.001501428,0.0006768559,0.00002056812],"category_scores_gemma":[0.0004579895,0.0009570417,0.0003271363,0.0004488487,0.0001019203,0.0001540706,0.0007821692,0.001057936,0.00002069947],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004555993,"about_ca_system_score_gemma":0.0005302283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714861,"about_ca_topic_score_gemma":0.0001927089,"domain_scores_codex":[0.9942051,0.0001898231,0.002158659,0.0009116011,0.0008387649,0.0016961],"domain_scores_gemma":[0.9960073,0.0006218813,0.0007585249,0.001354289,0.0007414554,0.0005165592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008165711,0.00006986823,0.007200584,0.0674289,0.00324802,0.00001338562,0.1129695,0.3262864,0.01478986,0.2335802,0.0009832481,0.2326134],"study_design_scores_gemma":[0.0022183,0.0009365251,0.2553981,0.02795397,0.0004418271,0.0001574673,0.005729706,0.03834952,0.587572,0.005361652,0.07164112,0.004239849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813431,0.003646445,0.0854317,0.0006236349,0.02032932,0.006332606,0.0005407499,0.001594949,0.0001575252],"genre_scores_gemma":[0.833344,0.00005506126,0.161821,0.00001393436,0.003702129,0.0007891762,0.00006253516,0.0002037746,0.000008390363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5727822,"threshold_uncertainty_score":0.999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321250755086789,"score_gpt":0.3154522679564545,"score_spread":0.2822397604055866,"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."}}