{"id":"W3152744045","doi":"10.5267/j.esm.2021.3.004","title":"Anticipation of damage presence in a fibre reinforced polymer plate through damping behaviour","year":2021,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Materials science; Composite number; Anticipation (artificial intelligence); Composite material; Loss factor; Fibre-reinforced plastic; Structural engineering; Work (physics); Computer science; Engineering; Mechanical engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336909,0.0002659127,0.00014226,0.0003778948,0.0001255993,0.0001840748,0.0002014944,0.0003037239,0.001529305],"category_scores_gemma":[0.0006187765,0.0001390122,0.0001632382,0.00009979357,0.0003525762,0.0002162317,0.0002089389,0.0003318878,0.0002159074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008031025,"about_ca_system_score_gemma":0.00007043761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003235845,"about_ca_topic_score_gemma":0.0003835948,"domain_scores_codex":[0.9998529,0.00001912711,0.000005088069,0.00002810189,0.00007394639,0.00002086424],"domain_scores_gemma":[0.9994727,0.0001989484,0.0001475626,0.00005196323,0.00007749029,0.0000515153],"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":[0.0003675796,0.00004967158,0.004553983,0.00004382419,0.00001007142,0.0002639952,0.0001526687,0.002342203,0.9877566,0.00006002598,0.00002187377,0.004377497],"study_design_scores_gemma":[0.000008702224,0.001928798,0.08297221,0.00001330018,0.00002374682,0.0004849189,0.0002454067,0.02095097,0.8929923,0.00009150733,0.0002645972,0.00002345515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972481,0.00005003887,0.002287467,0.000009263121,0.00000293627,0.00000462981,0.00001481988,0.00002994838,0.0003526898],"genre_scores_gemma":[0.9990054,0.00002652784,0.0006170014,0.000002121174,0.000001000413,0.00000234224,0.00001470615,0.000003314486,0.0003276924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001529305,"threshold_uncertainty_score":0.005116045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780971268995071,"score_gpt":0.2843633818537105,"score_spread":0.2665536691637598,"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."}}