{"id":"W76665774","doi":"","title":"COST Action FP1101 \"Assessment, reinforcement and monitoring of timber structures\"","year":2012,"lang":"en","type":"article","venue":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Action (physics); Dissemination; Risk analysis (engineering); Multidisciplinary approach; Computer science; Reinforcement; Engineering; Construction engineering; Business; Political science; Law","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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001622917,0.001495405,0.001436678,0.001518898,0.0007774065,0.000387806,0.001131744,0.00110177,0.0007327137],"category_scores_gemma":[0.0002252061,0.001533491,0.0003360867,0.001784461,0.0003803653,0.003570313,0.0005102355,0.002066995,0.0001753779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121566,"about_ca_system_score_gemma":0.000239022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003670434,"about_ca_topic_score_gemma":0.00002122016,"domain_scores_codex":[0.991708,0.0003651823,0.002323282,0.001155951,0.001753756,0.00269384],"domain_scores_gemma":[0.9945158,0.0006220381,0.00071463,0.001948354,0.0008566417,0.001342471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006118156,0.001286306,0.6422955,0.01027907,0.003299318,0.0000501959,0.01219932,0.03306775,0.03321371,0.02445894,0.04786262,0.1913754],"study_design_scores_gemma":[0.005249377,0.000676331,0.7119198,0.001256188,0.0009934119,0.0003392873,0.00362706,0.02745483,0.1481126,0.006716726,0.08802242,0.005631919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437329,0.005660965,0.02667427,0.0006600052,0.009134745,0.003861559,0.000219103,0.002953472,0.007102943],"genre_scores_gemma":[0.9606786,0.003597969,0.03138196,0.0001280941,0.002093136,0.000583645,0.000342234,0.0003803532,0.0008140472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857435,"threshold_uncertainty_score":0.9997795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07062360917579635,"score_gpt":0.3558257088795103,"score_spread":0.285202099703714,"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."}}