{"id":"W1464155132","doi":"10.2140/jomms.2015.10.105","title":"","year":2015,"lang":"en","type":"article","venue":"Journal of mechanics of materials and structures","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009136298,0.0002169009,0.0006810019,0.0001983018,0.00003263984,0.00005034196,0.0002931867,0.0001653978,0.000003758451],"category_scores_gemma":[0.0001675007,0.0001644756,0.00005507376,0.00008166711,0.00002522443,0.0002951085,0.00006161601,0.0001741153,3.132536e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006018587,"about_ca_system_score_gemma":0.00004542535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003047495,"about_ca_topic_score_gemma":0.000001785399,"domain_scores_codex":[0.9981301,0.00007155788,0.001043042,0.00009090835,0.0004216897,0.0002427094],"domain_scores_gemma":[0.9986609,0.00005574118,0.0004832678,0.0001703187,0.0003637313,0.0002660802],"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":[0.0005749224,0.000009135484,0.0001384947,0.0007408246,0.0001320448,0.00003987382,0.001544643,0.003270251,0.9691775,0.01373697,0.0004360523,0.01019927],"study_design_scores_gemma":[0.0007021921,0.0005446909,0.003326234,0.0001109794,0.00003333891,0.0004857196,0.0002847315,0.0001422366,0.8192223,0.1749219,0.00007778023,0.0001479118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994366,0.001439084,0.001086933,0.00005916087,0.002852315,0.000110205,0.00002015269,0.00006276101,0.000003342956],"genre_scores_gemma":[0.9759531,0.0006125261,0.02292724,0.00001723559,0.0004592587,0.000001350522,6.785376e-7,0.0000283225,3.128057e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611849,"threshold_uncertainty_score":0.670712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565474761275779,"score_gpt":0.2780153549289835,"score_spread":0.2523606073162257,"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."}}